{"id": "7958c2e23e09-0", "text": ".rst\n.pdf\nWelcome to LangChain\n Contents \nGetting Started\nModules\nUse Cases\nReference Docs\nEcosystem\nAdditional Resources\nWelcome to LangChain#\nLangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model, but will also be:\nData-aware: connect a language model to other sources of data\nAgentic: allow a language model to interact with its environment\nThe LangChain framework is designed around these principles.\nThis is the Python specific portion of the documentation. For a purely conceptual guide to LangChain, see here. For the JavaScript documentation, see here.\nGetting Started#\nHow to get started using LangChain to create an Language Model application.\nQuickstart Guide\nConcepts and terminology.\nConcepts and terminology\nTutorials created by community experts and presented on YouTube.\nTutorials\nModules#\nThese modules are the core abstractions which we view as the building blocks of any LLM-powered application.\nFor each module LangChain provides standard, extendable interfaces. LangChain also provides external integrations and even end-to-end implementations for off-the-shelf use.\nThe docs for each module contain quickstart examples, how-to guides, reference docs, and conceptual guides.\nThe modules are (from least to most complex):\nModels: Supported model types and integrations.\nPrompts: Prompt management, optimization, and serialization.\nMemory: Memory refers to state that is persisted between calls of a chain/agent.\nIndexes: Language models become much more powerful when combined with application-specific data - this module contains interfaces and integrations for loading, querying and updating external data.\nChains: Chains are structured sequences of calls (to an LLM or to a different utility).", "source": "https://python.langchain.com/en/latest/index.html"} {"id": "7958c2e23e09-1", "text": "Agents: An agent is a Chain in which an LLM, given a high-level directive and a set of tools, repeatedly decides an action, executes the action and observes the outcome until the high-level directive is complete.\nCallbacks: Callbacks let you log and stream the intermediate steps of any chain, making it easy to observe, debug, and evaluate the internals of an application.\nUse Cases#\nBest practices and built-in implementations for common LangChain use cases:\nAutonomous Agents: Autonomous agents are long-running agents that take many steps in an attempt to accomplish an objective. Examples include AutoGPT and BabyAGI.\nAgent Simulations: Putting agents in a sandbox and observing how they interact with each other and react to events can be an effective way to evaluate their long-range reasoning and planning abilities.\nPersonal Assistants: One of the primary LangChain use cases. Personal assistants need to take actions, remember interactions, and have knowledge about your data.\nQuestion Answering: Another common LangChain use case. Answering questions over specific documents, only utilizing the information in those documents to construct an answer.\nChatbots: Language models love to chat, making this a very natural use of them.\nQuerying Tabular Data: Recommended reading if you want to use language models to query structured data (CSVs, SQL, dataframes, etc).\nCode Understanding: Recommended reading if you want to use language models to analyze code.\nInteracting with APIs: Enabling language models to interact with APIs is extremely powerful. It gives them access to up-to-date information and allows them to take actions.\nExtraction: Extract structured information from text.\nSummarization: Compressing longer documents. A type of Data-Augmented Generation.\nEvaluation: Generative models are hard to evaluate with traditional metrics. One promising approach is to use language models themselves to do the evaluation.\nReference Docs#", "source": "https://python.langchain.com/en/latest/index.html"} {"id": "7958c2e23e09-2", "text": "Reference Docs#\nFull documentation on all methods, classes, installation methods, and integration setups for LangChain.\nLangChain Installation\nReference Documentation\nEcosystem#\nLangChain integrates a lot of different LLMs, systems, and products.\nFrom the other side, many systems and products depend on LangChain.\nIt creates a vibrant and thriving ecosystem.\nIntegrations: Guides for how other products can be used with LangChain.\nDependents: List of repositories that use LangChain.\nDeployments: A collection of instructions, code snippets, and template repositories for deploying LangChain apps.\nAdditional Resources#\nAdditional resources we think may be useful as you develop your application!\nLangChainHub: The LangChainHub is a place to share and explore other prompts, chains, and agents.\nGallery: A collection of great projects that use Langchain, compiled by the folks at Kyrolabs. Useful for finding inspiration and example implementations.\nTracing: A guide on using tracing in LangChain to visualize the execution of chains and agents.\nModel Laboratory: Experimenting with different prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to do so.\nDiscord: Join us on our Discord to discuss all things LangChain!\nYouTube: A collection of the LangChain tutorials and videos.\nProduction Support: As you move your LangChains into production, we\u2019d love to offer more comprehensive support. Please fill out this form and we\u2019ll set up a dedicated support Slack channel.\nnext\nQuickstart Guide\n Contents\n \nGetting Started\nModules\nUse Cases\nReference Docs\nEcosystem\nAdditional Resources\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/index.html"} {"id": "8ea51f3894e1-0", "text": ".md\n.pdf\nDependents\nDependents#\nDependents stats for hwchase17/langchain\n[update: 2023-05-17; only dependent repositories with Stars > 100]\nRepository\nStars\nopenai/openai-cookbook\n35401\nLAION-AI/Open-Assistant\n32861\nmicrosoft/TaskMatrix\n32766\nhpcaitech/ColossalAI\n29560\nreworkd/AgentGPT\n22315\nimartinez/privateGPT\n17474\nopenai/chatgpt-retrieval-plugin\n16923\nmindsdb/mindsdb\n16112\njerryjliu/llama_index\n15407\nmlflow/mlflow\n14345\nGaiZhenbiao/ChuanhuChatGPT\n10372\ndatabrickslabs/dolly\n9919\nAIGC-Audio/AudioGPT\n8177\nlogspace-ai/langflow\n6807\nimClumsyPanda/langchain-ChatGLM\n6087\narc53/DocsGPT\n5292\ne2b-dev/e2b\n4622\nnsarrazin/serge\n4076\nmadawei2699/myGPTReader\n3952\nzauberzeug/nicegui\n3952\ngo-skynet/LocalAI\n3762\nGreyDGL/PentestGPT\n3388\nmmabrouk/chatgpt-wrapper\n3243\nzilliztech/GPTCache\n3189\nwenda-LLM/wenda\n3050\nmarqo-ai/marqo\n2930\ngkamradt/langchain-tutorials\n2710\nPrefectHQ/marvin\n2545\nproject-baize/baize-chatbot\n2479\nwhitead/paper-qa\n2399\nlanggenius/dify", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "8ea51f3894e1-1", "text": "2479\nwhitead/paper-qa\n2399\nlanggenius/dify\n2344\nGerevAI/gerev\n2283\nhwchase17/chat-langchain\n2266\nguangzhengli/ChatFiles\n1903\nAzure-Samples/azure-search-openai-demo\n1884\nOpenBMB/BMTools\n1860\nFarama-Foundation/PettingZoo\n1813\nOpenGVLab/Ask-Anything\n1571\nIntelligenzaArtificiale/Free-Auto-GPT\n1480\nhwchase17/notion-qa\n1464\nNVIDIA/NeMo-Guardrails\n1419\nUnstructured-IO/unstructured\n1410\nKav-K/GPTDiscord\n1363\npaulpierre/RasaGPT\n1344\nStanGirard/quivr\n1330\nlunasec-io/lunasec\n1318\nvocodedev/vocode-python\n1286\nagiresearch/OpenAGI\n1156\nh2oai/h2ogpt\n1141\njina-ai/thinkgpt\n1106\nyanqiangmiffy/Chinese-LangChain\n1072\nttengwang/Caption-Anything\n1064\njina-ai/dev-gpt\n1057\njuncongmoo/chatllama\n1003\ngreshake/llm-security\n1002\nvisual-openllm/visual-openllm\n957\nrichardyc/Chrome-GPT\n918\nirgolic/AutoPR\n886\nmmz-001/knowledge_gpt\n867\nthomas-yanxin/LangChain-ChatGLM-Webui\n850\nmicrosoft/X-Decoder\n837\npeterw/Chat-with-Github-Repo\n826\ncirediatpl/FigmaChain\n782\nhashintel/hash", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "8ea51f3894e1-2", "text": "826\ncirediatpl/FigmaChain\n782\nhashintel/hash\n778\nseanpixel/Teenage-AGI\n773\njina-ai/langchain-serve\n738\ncorca-ai/EVAL\n737\nai-sidekick/sidekick\n717\nrlancemartin/auto-evaluator\n703\npoe-platform/api-bot-tutorial\n689\nSamurAIGPT/Camel-AutoGPT\n666\neyurtsev/kor\n608\nrun-llama/llama-lab\n559\nnamuan/dr-doc-search\n544\npieroit/cheshire-cat\n520\ngriptape-ai/griptape\n514\ngetmetal/motorhead\n481\nhwchase17/chat-your-data\n462\nlangchain-ai/langchain-aiplugin\n452\njina-ai/agentchain\n439\nSamurAIGPT/ChatGPT-Developer-Plugins\n437\nalexanderatallah/window.ai\n433\nmichaelthwan/searchGPT\n427\nmpaepper/content-chatbot\n425\nmckaywrigley/repo-chat\n422\nwhyiyhw/chatgpt-wechat\n421\nfreddyaboulton/gradio-tools\n407\njonra1993/fastapi-alembic-sqlmodel-async\n395\nyeagerai/yeagerai-agent\n383\nakshata29/chatpdf\n374\nOpenGVLab/InternGPT\n368\nruoccofabrizio/azure-open-ai-embeddings-qna\n358\n101dotxyz/GPTeam\n357\nmtenenholtz/chat-twitter\n354\namosjyng/langchain-visualizer\n343\nmsoedov/langcorn\n334\nshowlab/VLog\n330\ncontinuum-llms/chatgpt-memory\n324\nsteamship-core/steamship-langchain\n323", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "8ea51f3894e1-3", "text": "324\nsteamship-core/steamship-langchain\n323\ndaodao97/chatdoc\n320\nxuwenhao/geektime-ai-course\n308\nStevenGrove/GPT4Tools\n301\nlogan-markewich/llama_index_starter_pack\n300\nandylokandy/gpt-4-search\n299\nAnil-matcha/ChatPDF\n287\nitamargol/openai\n273\nBlackHC/llm-strategy\n267\nmomegas/megabots\n259\nbborn/howdoi.ai\n238\nCheems-Seminar/grounded-segment-any-parts\n232\nur-whitelab/exmol\n227\nsullivan-sean/chat-langchainjs\n227\nexplosion/spacy-llm\n226\nrecalign/RecAlign\n218\njupyterlab/jupyter-ai\n218\nalvarosevilla95/autolang\n215\nconceptofmind/toolformer\n213\nMagnivOrg/prompt-layer-library\n209\nJohnSnowLabs/nlptest\n208\nairobotlab/KoChatGPT\n197\nlangchain-ai/auto-evaluator\n195\nyvann-hub/Robby-chatbot\n195\nalejandro-ao/langchain-ask-pdf\n192\ndaveebbelaar/langchain-experiments\n189\nNimbleBoxAI/ChainFury\n187\nkaleido-lab/dolphin\n184\nAnil-matcha/Website-to-Chatbot\n183\nplchld/InsightFlow\n180\nOpenBMB/AgentVerse\n166\nbenthecoder/ClassGPT\n166\njbrukh/gpt-jargon\n161\nhardbyte/qabot\n160\nshaman-ai/agent-actors\n153\nradi-cho/datasetGPT\n153\npoe-platform/poe-protocol\n152", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "8ea51f3894e1-4", "text": "radi-cho/datasetGPT\n153\npoe-platform/poe-protocol\n152\npaolorechia/learn-langchain\n149\najndkr/lanarky\n149\nfengyuli-dev/multimedia-gpt\n147\nyasyf/compress-gpt\n144\nhomanp/superagent\n143\nrealminchoi/babyagi-ui\n141\nethanyanjiali/minChatGPT\n141\nccurme/yolopandas\n139\nhwchase17/langchain-streamlit-template\n138\nJaseci-Labs/jaseci\n136\nhirokidaichi/wanna\n135\nHaste171/langchain-chatbot\n134\njmpaz/promptlib\n130\nKlingefjord/chatgpt-telegram\n130\nfilip-michalsky/SalesGPT\n128\nhandrew/browserpilot\n128\nshauryr/S2QA\n127\nsteamship-core/vercel-examples\n127\nyasyf/summ\n127\ngia-guar/JARVIS-ChatGPT\n126\njerlendds/osintbuddy\n125\nibiscp/LLM-IMDB\n124\nTeahouse-Studios/akari-bot\n124\nhwchase17/chroma-langchain\n124\nmenloparklab/langchain-cohere-qdrant-doc-retrieval\n123\npeterw/StoryStorm\n123\nchakkaradeep/pyCodeAGI\n123\npetehunt/langchain-github-bot\n115\nsu77ungr/CASALIOY\n113\neunomia-bpf/GPTtrace\n113\nzenml-io/zenml-projects\n112\npablomarin/GPT-Azure-Search-Engine\n111\nshamspias/customizable-gpt-chatbot\n109\nWongSaang/chatgpt-ui-server", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "8ea51f3894e1-5", "text": "109\nWongSaang/chatgpt-ui-server\n108\ndavila7/file-gpt\n104\nenhancedocs/enhancedocs\n102\naurelio-labs/arxiv-bot\n101\nGenerated by github-dependents-info\n[github-dependents-info \u2013repo hwchase17/langchain \u2013markdownfile dependents.md \u2013minstars 100 \u2013sort stars]\nprevious\nZilliz\nnext\nDeployments\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/dependents.html"} {"id": "94d1235acb1c-0", "text": ".rst\n.pdf\nAPI References\nAPI References#\nFull documentation on all methods, classes, and APIs in LangChain.\nModels\nPrompts\nIndexes\nMemory\nChains\nAgents\nUtilities\nExperimental Modules\nprevious\nInstallation\nnext\nModels\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/reference.html"} {"id": "a08f07fe3e75-0", "text": ".rst\n.pdf\nIntegrations\n Contents \nIntegrations by Module\nDependencies\nAll Integrations\nIntegrations#\nLangChain integrates with many LLMs, systems, and products.\nIntegrations by Module#\nIntegrations grouped by the core LangChain module they map to:\nLLM Providers\nChat Model Providers\nText Embedding Model Providers\nDocument Loader Integrations\nText Splitter Integrations\nVectorstore Providers\nRetriever Providers\nTool Providers\nToolkit Integrations\nDependencies#\nLangChain depends on several hungered Python packages.\nAll Integrations#\nA comprehensive list of LLMs, systems, and products integrated with LangChain:\nAI21 Labs\nAim\nAirbyte\nAleph Alpha\nAnalyticDB\nAnyscale\nApify\nArxiv\nAtlasDB\nAWS S3 Directory\nAZLyrics\nAzure Blob Storage\nAzure OpenAI\nBanana\nBeam\nBiliBili\nBlackboard\nCerebriumAI\nChroma\nClearML\nCohere\nCollege Confidential\nComet\nConfluence\nC Transformers\nDataberry\nDatabricks\nDeepInfra\nDeep Lake\nDiffbot\nDocugami\nForefrontAI\nGoogle Search\nGoogle Serper\nGooseAI\nGPT4All\nGraphsignal\nHazy Research\nHelicone\nHugging Face\nJina\nLanceDB\nLlama.cpp\nMetal\nMilvus\nMLflow\nModal\nMomento\nMyScale\nNLPCloud\nOpenAI\nOpenSearch\nOpenWeatherMap\nPetals\nPGVector\nPinecone\nPipelineAI\nPrediction Guard\nPromptLayer\nPsychic\nAdvantages vs Other Document Loaders\nQdrant\nRebuff\nRedis\nReplicate\nRunhouse\nRWKV-4\nSageMaker Endpoint\nSearxNG Search API\nSerpAPI\nscikit-learn", "source": "https://python.langchain.com/en/latest/integrations.html"} {"id": "a08f07fe3e75-1", "text": "SearxNG Search API\nSerpAPI\nscikit-learn\nStochasticAI\nTair\nUnstructured\nVectara\nWeights & Biases\nWeaviate\nWhyLabs\nWolfram Alpha\nWriter\nYeager.ai\nZilliz\nprevious\nExperimental Modules\nnext\nAI21 Labs\n Contents\n \nIntegrations by Module\nDependencies\nAll Integrations\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/integrations.html"} {"id": "eddc1cc06a3b-0", "text": "Index\n_\n | A\n | B\n | C\n | D\n | E\n | F\n | G\n | H\n | I\n | J\n | K\n | L\n | M\n | N\n | O\n | P\n | Q\n | R\n | S\n | T\n | U\n | V\n | W\n | Y\n | Z\n_\n__call__() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-1", "text": "(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\nA\naadd_documents() (langchain.retrievers.TimeWeightedVectorStoreRetriever method)\n(langchain.vectorstores.VectorStore method)\naadd_texts() (langchain.vectorstores.VectorStore method)\naapply() (langchain.chains.LLMChain method)\naapply_and_parse() (langchain.chains.LLMChain method)\nacall_actor() (langchain.utilities.ApifyWrapper method)\naccess_token (langchain.document_loaders.DocugamiLoader attribute)\naccount_sid (langchain.utilities.TwilioAPIWrapper attribute)\nacompress_documents() (langchain.retrievers.document_compressors.CohereRerank method)\n(langchain.retrievers.document_compressors.DocumentCompressorPipeline method)\n(langchain.retrievers.document_compressors.EmbeddingsFilter method)\n(langchain.retrievers.document_compressors.LLMChainExtractor method)\n(langchain.retrievers.document_compressors.LLMChainFilter method)\naction_id (langchain.tools.ZapierNLARunAction attribute)\nadd() (langchain.docstore.InMemoryDocstore method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-2", "text": "add() (langchain.docstore.InMemoryDocstore method)\nadd_documents() (langchain.retrievers.TimeWeightedVectorStoreRetriever method)\n(langchain.retrievers.WeaviateHybridSearchRetriever method)\n(langchain.vectorstores.VectorStore method)\nadd_embeddings() (langchain.vectorstores.FAISS method)\nadd_example() (langchain.prompts.example_selector.LengthBasedExampleSelector method)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector method)\nadd_memory() (langchain.experimental.GenerativeAgentMemory method)\nadd_message() (langchain.memory.CassandraChatMessageHistory method)\n(langchain.memory.ChatMessageHistory method)\n(langchain.memory.CosmosDBChatMessageHistory method)\n(langchain.memory.DynamoDBChatMessageHistory method)\n(langchain.memory.FileChatMessageHistory method)\n(langchain.memory.MomentoChatMessageHistory method)\n(langchain.memory.MongoDBChatMessageHistory method)\n(langchain.memory.PostgresChatMessageHistory method)\n(langchain.memory.RedisChatMessageHistory method)\nadd_texts() (langchain.retrievers.ElasticSearchBM25Retriever method)\n(langchain.retrievers.PineconeHybridSearchRetriever method)\n(langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Annoy method)\n(langchain.vectorstores.AtlasDB method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.ElasticVectorSearch method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.LanceDB method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.MongoDBAtlasVectorSearch method)\n(langchain.vectorstores.MyScale method)\n(langchain.vectorstores.OpenSearchVectorSearch method)\n(langchain.vectorstores.Pinecone method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-3", "text": "(langchain.vectorstores.Pinecone method)\n(langchain.vectorstores.Qdrant method)\n(langchain.vectorstores.Redis method)\n(langchain.vectorstores.SKLearnVectorStore method)\n(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.Tair method)\n(langchain.vectorstores.Typesense method)\n(langchain.vectorstores.Vectara method)\n(langchain.vectorstores.VectorStore method)\n(langchain.vectorstores.Weaviate method)\nadd_vectors() (langchain.vectorstores.SupabaseVectorStore method)\nadd_video_info (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\nadelete() (langchain.utilities.TextRequestsWrapper method)\nafrom_documents() (langchain.vectorstores.VectorStore class method)\nafrom_texts() (langchain.vectorstores.VectorStore class method)\nage (langchain.experimental.GenerativeAgent attribute)\nagenerate() (langchain.chains.LLMChain method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-4", "text": "(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\nagenerate_prompt() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-5", "text": "(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\nagent (langchain.agents.AgentExecutor attribute)\nAgentType (class in langchain.agents)\naget() (langchain.utilities.TextRequestsWrapper method)\naget_relevant_documents() (langchain.retrievers.ArxivRetriever method)\n(langchain.retrievers.AzureCognitiveSearchRetriever method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-6", "text": "(langchain.retrievers.AzureCognitiveSearchRetriever method)\n(langchain.retrievers.ChatGPTPluginRetriever method)\n(langchain.retrievers.ContextualCompressionRetriever method)\n(langchain.retrievers.DataberryRetriever method)\n(langchain.retrievers.ElasticSearchBM25Retriever method)\n(langchain.retrievers.KNNRetriever method)\n(langchain.retrievers.MetalRetriever method)\n(langchain.retrievers.PineconeHybridSearchRetriever method)\n(langchain.retrievers.RemoteLangChainRetriever method)\n(langchain.retrievers.SelfQueryRetriever method)\n(langchain.retrievers.SVMRetriever method)\n(langchain.retrievers.TFIDFRetriever method)\n(langchain.retrievers.TimeWeightedVectorStoreRetriever method)\n(langchain.retrievers.VespaRetriever method)\n(langchain.retrievers.WeaviateHybridSearchRetriever method)\n(langchain.retrievers.WikipediaRetriever method)\n(langchain.retrievers.ZepRetriever method)\naget_table_info() (langchain.utilities.PowerBIDataset method)\naggregate_importance (langchain.experimental.GenerativeAgentMemory attribute)\nai_prefix (langchain.agents.ConversationalAgent attribute)\n(langchain.memory.ConversationBufferMemory attribute)\n(langchain.memory.ConversationBufferWindowMemory attribute)\n(langchain.memory.ConversationEntityMemory attribute)\n(langchain.memory.ConversationKGMemory attribute)\n(langchain.memory.ConversationStringBufferMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory attribute)\naiosession (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\n(langchain.retrievers.ChatGPTPluginRetriever attribute)\n(langchain.serpapi.SerpAPIWrapper attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-7", "text": "(langchain.serpapi.SerpAPIWrapper attribute)\n(langchain.utilities.GoogleSerperAPIWrapper attribute)\n(langchain.utilities.PowerBIDataset attribute)\n(langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\n(langchain.utilities.SerpAPIWrapper attribute)\n(langchain.utilities.TextRequestsWrapper attribute)\nAirbyteJSONLoader (class in langchain.document_loaders)\naleph_alpha_api_key (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\n(langchain.llms.AlephAlpha attribute)\nallowed_special (langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\nallowed_tools (langchain.agents.Agent attribute)\naload() (langchain.document_loaders.WebBaseLoader method)\nalpha (langchain.retrievers.PineconeHybridSearchRetriever attribute)\namax_marginal_relevance_search() (langchain.vectorstores.VectorStore method)\namax_marginal_relevance_search_by_vector() (langchain.vectorstores.VectorStore method)\nAnalyticDB (class in langchain.vectorstores)\nAnnoy (class in langchain.vectorstores)\nanswers (langchain.utilities.searx_search.SearxResults property)\napatch() (langchain.utilities.TextRequestsWrapper method)\napi (langchain.document_loaders.DocugamiLoader attribute)\napi_answer_chain (langchain.chains.APIChain attribute)\napi_docs (langchain.chains.APIChain attribute)\napi_key (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\n(langchain.retrievers.DataberryRetriever attribute)\napi_operation (langchain.chains.OpenAPIEndpointChain attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-8", "text": "api_operation (langchain.chains.OpenAPIEndpointChain attribute)\napi_request_chain (langchain.chains.APIChain attribute)\n(langchain.chains.OpenAPIEndpointChain attribute)\napi_resource (langchain.agents.agent_toolkits.GmailToolkit attribute)\napi_response_chain (langchain.chains.OpenAPIEndpointChain attribute)\napi_spec (langchain.tools.AIPluginTool attribute)\napi_token (langchain.llms.Databricks attribute)\napi_url (langchain.llms.StochasticAI attribute)\napi_version (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\napi_wrapper (langchain.tools.BingSearchResults attribute)\n(langchain.tools.BingSearchRun attribute)\n(langchain.tools.DuckDuckGoSearchResults attribute)\n(langchain.tools.DuckDuckGoSearchRun attribute)\n(langchain.tools.GooglePlacesTool attribute)\n(langchain.tools.GoogleSearchResults attribute)\n(langchain.tools.GoogleSearchRun attribute)\n(langchain.tools.GoogleSerperResults attribute)\n(langchain.tools.GoogleSerperRun attribute)\n(langchain.tools.MetaphorSearchResults attribute)\n(langchain.tools.OpenWeatherMapQueryRun attribute)\n(langchain.tools.SceneXplainTool attribute)\n(langchain.tools.WikipediaQueryRun attribute)\n(langchain.tools.WolframAlphaQueryRun attribute)\n(langchain.tools.ZapierNLAListActions attribute)\n(langchain.tools.ZapierNLARunAction attribute)\napify_client (langchain.document_loaders.ApifyDatasetLoader attribute)\n(langchain.utilities.ApifyWrapper attribute)\napify_client_async (langchain.utilities.ApifyWrapper attribute)\naplan() (langchain.agents.Agent method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\n(langchain.agents.LLMSingleActionAgent method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-9", "text": "(langchain.agents.LLMSingleActionAgent method)\napost() (langchain.utilities.TextRequestsWrapper method)\napp_creation() (langchain.llms.Beam method)\napply() (langchain.chains.LLMChain method)\napply_and_parse() (langchain.chains.LLMChain method)\napredict() (langchain.chains.LLMChain method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-10", "text": "(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\napredict_and_parse() (langchain.chains.LLMChain method)\napredict_messages() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-11", "text": "(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\naprep_prompts() (langchain.chains.LLMChain method)\naput() (langchain.utilities.TextRequestsWrapper method)\narbitrary_types_allowed (langchain.experimental.BabyAGI.Config attribute)\n(langchain.experimental.GenerativeAgent.Config attribute)\n(langchain.retrievers.WeaviateHybridSearchRetriever.Config attribute)\nare_all_true_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)\naresults() (langchain.serpapi.SerpAPIWrapper method)\n(langchain.utilities.GoogleSerperAPIWrapper method)\n(langchain.utilities.searx_search.SearxSearchWrapper method)\n(langchain.utilities.SearxSearchWrapper method)\n(langchain.utilities.SerpAPIWrapper method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-12", "text": "(langchain.utilities.SerpAPIWrapper method)\nargs (langchain.agents.Tool property)\n(langchain.tools.BaseTool property)\n(langchain.tools.StructuredTool property)\n(langchain.tools.Tool property)\nargs_schema (langchain.tools.AIPluginTool attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.ClickTool attribute)\n(langchain.tools.CopyFileTool attribute)\n(langchain.tools.CurrentWebPageTool attribute)\n(langchain.tools.DeleteFileTool attribute)\n(langchain.tools.ExtractHyperlinksTool attribute)\n(langchain.tools.ExtractTextTool attribute)\n(langchain.tools.FileSearchTool attribute)\n(langchain.tools.GetElementsTool attribute)\n(langchain.tools.GmailCreateDraft attribute)\n(langchain.tools.GmailGetMessage attribute)\n(langchain.tools.GmailGetThread attribute)\n(langchain.tools.GmailSearch attribute)\n(langchain.tools.ListDirectoryTool attribute)\n(langchain.tools.MoveFileTool attribute)\n(langchain.tools.NavigateBackTool attribute)\n(langchain.tools.NavigateTool attribute)\n(langchain.tools.ReadFileTool attribute)\n(langchain.tools.ShellTool attribute)\n(langchain.tools.StructuredTool attribute)\n(langchain.tools.Tool attribute)\n(langchain.tools.WriteFileTool attribute)\narun() (langchain.serpapi.SerpAPIWrapper method)\n(langchain.tools.BaseTool method)\n(langchain.utilities.GoogleSerperAPIWrapper method)\n(langchain.utilities.PowerBIDataset method)\n(langchain.utilities.searx_search.SearxSearchWrapper method)\n(langchain.utilities.SearxSearchWrapper method)\n(langchain.utilities.SerpAPIWrapper method)\narxiv_exceptions (langchain.utilities.ArxivAPIWrapper attribute)\nArxivLoader (class in langchain.document_loaders)\nas_retriever() (langchain.vectorstores.Redis method)\n(langchain.vectorstores.Vectara method)\n(langchain.vectorstores.VectorStore method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-13", "text": "(langchain.vectorstores.Vectara method)\n(langchain.vectorstores.VectorStore method)\nasearch() (langchain.vectorstores.VectorStore method)\nasimilarity_search() (langchain.vectorstores.VectorStore method)\nasimilarity_search_by_vector() (langchain.vectorstores.VectorStore method)\nasimilarity_search_with_relevance_scores() (langchain.vectorstores.VectorStore method)\nassignee (langchain.document_loaders.GitHubIssuesLoader attribute)\nasync_browser (langchain.agents.agent_toolkits.PlayWrightBrowserToolkit attribute)\nAtlasDB (class in langchain.vectorstores)\natransform_documents() (langchain.document_transformers.EmbeddingsRedundantFilter method)\n(langchain.text_splitter.TextSplitter method)\nauth_token (langchain.utilities.TwilioAPIWrapper attribute)\nauth_with_token (langchain.document_loaders.OneDriveLoader attribute)\nAutoGPT (class in langchain.experimental)\nawslambda_tool_description (langchain.utilities.LambdaWrapper attribute)\nawslambda_tool_name (langchain.utilities.LambdaWrapper attribute)\nAZLyricsLoader (class in langchain.document_loaders)\nAzureBlobStorageContainerLoader (class in langchain.document_loaders)\nAzureBlobStorageFileLoader (class in langchain.document_loaders)\nB\nBabyAGI (class in langchain.experimental)\nbad_words (langchain.llms.NLPCloud attribute)\nbase_compressor (langchain.retrievers.ContextualCompressionRetriever attribute)\nbase_embeddings (langchain.chains.HypotheticalDocumentEmbedder attribute)\nbase_prompt (langchain.tools.ZapierNLARunAction attribute)\nbase_retriever (langchain.retrievers.ContextualCompressionRetriever attribute)\nbase_url (langchain.document_loaders.BlackboardLoader attribute)\n(langchain.llms.AI21 attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-14", "text": "(langchain.llms.AI21 attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.Writer attribute)\n(langchain.tools.APIOperation attribute)\n(langchain.tools.OpenAPISpec property)\nBashProcess (class in langchain.utilities)\nbatch_size (langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\nbearer_token (langchain.retrievers.ChatGPTPluginRetriever attribute)\nbest_of (langchain.llms.AlephAlpha attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Writer attribute)\nBibtexLoader (class in langchain.document_loaders)\nBigQueryLoader (class in langchain.document_loaders)\nBiliBiliLoader (class in langchain.document_loaders)\nbinary_location (langchain.document_loaders.SeleniumURLLoader attribute)\nbing_search_url (langchain.utilities.BingSearchAPIWrapper attribute)\nbing_subscription_key (langchain.utilities.BingSearchAPIWrapper attribute)\nBlackboardLoader (class in langchain.document_loaders)\nBlockchainDocumentLoader (class in langchain.document_loaders)\nbody_params (langchain.tools.APIOperation property)\nbrowser (langchain.document_loaders.SeleniumURLLoader attribute)\nBSHTMLLoader (class in langchain.document_loaders)\nbuffer (langchain.memory.ConversationBufferMemory property)\n(langchain.memory.ConversationBufferWindowMemory property)\n(langchain.memory.ConversationEntityMemory property)\n(langchain.memory.ConversationStringBufferMemory attribute)\n(langchain.memory.ConversationSummaryBufferMemory property)\n(langchain.memory.ConversationSummaryMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory property)\nC\ncache_folder (langchain.embeddings.HuggingFaceEmbeddings attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-15", "text": "C\ncache_folder (langchain.embeddings.HuggingFaceEmbeddings attribute)\n(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\ncall_actor() (langchain.utilities.ApifyWrapper method)\ncallback_manager (langchain.agents.agent_toolkits.PowerBIToolkit attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)\ncallbacks (langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)\ncaptions_language (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\nCassandraChatMessageHistory (class in langchain.memory)\ncategories (langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nchain (langchain.chains.ConstitutionalChain attribute)\nchains (langchain.chains.SequentialChain attribute)\n(langchain.chains.SimpleSequentialChain attribute)\nchannel_name (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\nCharacterTextSplitter (class in langchain.text_splitter)\nCHAT_CONVERSATIONAL_REACT_DESCRIPTION (langchain.agents.AgentType attribute)\nchat_history_key (langchain.memory.ConversationEntityMemory attribute)\nCHAT_ZERO_SHOT_REACT_DESCRIPTION (langchain.agents.AgentType attribute)\nChatGPTLoader (class in langchain.document_loaders)\ncheck_assertions_prompt (langchain.chains.LLMCheckerChain attribute)\n(langchain.chains.LLMSummarizationCheckerChain attribute)\ncheck_bs4() (langchain.document_loaders.BlackboardLoader method)\nChroma (class in langchain.vectorstores)\nCHUNK_LEN (langchain.llms.RWKV attribute)\nchunk_size (langchain.embeddings.OpenAIEmbeddings attribute)\nclean_pdf() (langchain.document_loaders.MathpixPDFLoader method)\nclear() (langchain.experimental.GenerativeAgentMemory method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-16", "text": "clear() (langchain.experimental.GenerativeAgentMemory method)\n(langchain.memory.CassandraChatMessageHistory method)\n(langchain.memory.ChatMessageHistory method)\n(langchain.memory.CombinedMemory method)\n(langchain.memory.ConversationEntityMemory method)\n(langchain.memory.ConversationKGMemory method)\n(langchain.memory.ConversationStringBufferMemory method)\n(langchain.memory.ConversationSummaryBufferMemory method)\n(langchain.memory.ConversationSummaryMemory method)\n(langchain.memory.CosmosDBChatMessageHistory method)\n(langchain.memory.DynamoDBChatMessageHistory method)\n(langchain.memory.FileChatMessageHistory method)\n(langchain.memory.InMemoryEntityStore method)\n(langchain.memory.MomentoChatMessageHistory method)\n(langchain.memory.MongoDBChatMessageHistory method)\n(langchain.memory.PostgresChatMessageHistory method)\n(langchain.memory.ReadOnlySharedMemory method)\n(langchain.memory.RedisChatMessageHistory method)\n(langchain.memory.RedisEntityStore method)\n(langchain.memory.SimpleMemory method)\n(langchain.memory.SQLiteEntityStore method)\n(langchain.memory.VectorStoreRetrieverMemory method)\nclient (langchain.llms.Petals attribute)\n(langchain.retrievers.document_compressors.CohereRerank attribute)\ncluster_driver_port (langchain.llms.Databricks attribute)\ncluster_id (langchain.llms.Databricks attribute)\nCodeTextSplitter (class in langchain.text_splitter)\nCollegeConfidentialLoader (class in langchain.document_loaders)\ncolumn_map (langchain.vectorstores.MyScaleSettings attribute)\ncombine_docs_chain (langchain.chains.AnalyzeDocumentChain attribute)\ncombine_documents_chain (langchain.chains.MapReduceChain attribute)\ncombine_embeddings() (langchain.chains.HypotheticalDocumentEmbedder method)\ncompletion_bias_exclusion_first_token_only (langchain.llms.AlephAlpha attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-17", "text": "completion_bias_exclusion_first_token_only (langchain.llms.AlephAlpha attribute)\ncompletion_with_retry() (langchain.chat_models.ChatOpenAI method)\ncompress_documents() (langchain.retrievers.document_compressors.CohereRerank method)\n(langchain.retrievers.document_compressors.DocumentCompressorPipeline method)\n(langchain.retrievers.document_compressors.EmbeddingsFilter method)\n(langchain.retrievers.document_compressors.LLMChainExtractor method)\n(langchain.retrievers.document_compressors.LLMChainFilter method)\ncompress_to_size (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\nconfig (langchain.llms.CTransformers attribute)\nConfluenceLoader (class in langchain.document_loaders)\nCoNLLULoader (class in langchain.document_loaders)\nconnect() (langchain.vectorstores.AnalyticDB method)\nconnection_string_from_db_params() (langchain.vectorstores.AnalyticDB class method)\nconstitutional_principles (langchain.chains.ConstitutionalChain attribute)\nconstruct() (langchain.llms.AI21 class method)\n(langchain.llms.AlephAlpha class method)\n(langchain.llms.Anthropic class method)\n(langchain.llms.Anyscale class method)\n(langchain.llms.AzureOpenAI class method)\n(langchain.llms.Banana class method)\n(langchain.llms.Beam class method)\n(langchain.llms.CerebriumAI class method)\n(langchain.llms.Cohere class method)\n(langchain.llms.CTransformers class method)\n(langchain.llms.Databricks class method)\n(langchain.llms.DeepInfra class method)\n(langchain.llms.FakeListLLM class method)\n(langchain.llms.ForefrontAI class method)\n(langchain.llms.GooglePalm class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-18", "text": "(langchain.llms.GooglePalm class method)\n(langchain.llms.GooseAI class method)\n(langchain.llms.GPT4All class method)\n(langchain.llms.HuggingFaceEndpoint class method)\n(langchain.llms.HuggingFaceHub class method)\n(langchain.llms.HuggingFacePipeline class method)\n(langchain.llms.HuggingFaceTextGenInference class method)\n(langchain.llms.HumanInputLLM class method)\n(langchain.llms.LlamaCpp class method)\n(langchain.llms.Modal class method)\n(langchain.llms.MosaicML class method)\n(langchain.llms.NLPCloud class method)\n(langchain.llms.OpenAI class method)\n(langchain.llms.OpenAIChat class method)\n(langchain.llms.OpenLM class method)\n(langchain.llms.Petals class method)\n(langchain.llms.PipelineAI class method)\n(langchain.llms.PredictionGuard class method)\n(langchain.llms.PromptLayerOpenAI class method)\n(langchain.llms.PromptLayerOpenAIChat class method)\n(langchain.llms.Replicate class method)\n(langchain.llms.RWKV class method)\n(langchain.llms.SagemakerEndpoint class method)\n(langchain.llms.SelfHostedHuggingFaceLLM class method)\n(langchain.llms.SelfHostedPipeline class method)\n(langchain.llms.StochasticAI class method)\n(langchain.llms.VertexAI class method)\n(langchain.llms.Writer class method)\ncontent_handler (langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.SagemakerEndpoint attribute)\ncontent_key (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\nCONTENT_KEY (langchain.vectorstores.Qdrant attribute)\ncontext_erase (langchain.llms.GPT4All attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-19", "text": "context_erase (langchain.llms.GPT4All attribute)\ncontextual_control_threshold (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\n(langchain.llms.AlephAlpha attribute)\ncontinue_on_failure (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\n(langchain.document_loaders.PlaywrightURLLoader attribute)\n(langchain.document_loaders.SeleniumURLLoader attribute)\ncontrol_log_additive (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\n(langchain.llms.AlephAlpha attribute)\nCONVERSATIONAL_REACT_DESCRIPTION (langchain.agents.AgentType attribute)\ncopy() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-20", "text": "(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\ncoroutine (langchain.agents.Tool attribute)\n(langchain.tools.StructuredTool attribute)\n(langchain.tools.Tool attribute)\nCosmosDBChatMessageHistory (class in langchain.memory)\ncountPenalty (langchain.llms.AI21 attribute)\nCPP (langchain.text_splitter.Language attribute)\ncreate() (langchain.retrievers.ElasticSearchBM25Retriever class method)\ncreate_assertions_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)\ncreate_collection() (langchain.vectorstores.AnalyticDB method)\ncreate_csv_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_documents() (langchain.text_splitter.TextSplitter method)\ncreate_draft_answer_prompt (langchain.chains.LLMCheckerChain attribute)\ncreate_index() (langchain.vectorstores.AtlasDB method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-21", "text": "create_index() (langchain.vectorstores.AtlasDB method)\ncreate_index_if_not_exist() (langchain.vectorstores.Tair method)\ncreate_json_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_llm_result() (langchain.llms.AzureOpenAI method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenLM method)\n(langchain.llms.PromptLayerOpenAI method)\ncreate_openapi_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_outputs() (langchain.chains.LLMChain method)\ncreate_pandas_dataframe_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_pbi_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_pbi_chat_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_prompt() (langchain.agents.Agent class method)\n(langchain.agents.ConversationalAgent class method)\n(langchain.agents.ConversationalChatAgent class method)\n(langchain.agents.ReActTextWorldAgent class method)\n(langchain.agents.StructuredChatAgent class method)\n(langchain.agents.ZeroShotAgent class method)\ncreate_python_agent() (in module langchain.agents.agent_toolkits)\ncreate_spark_dataframe_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_spark_sql_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_sql_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-22", "text": "(in module langchain.agents.agent_toolkits)\ncreate_tables_if_not_exists() (langchain.vectorstores.AnalyticDB method)\ncreate_vectorstore_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreate_vectorstore_router_agent() (in module langchain.agents)\n(in module langchain.agents.agent_toolkits)\ncreator (langchain.document_loaders.GitHubIssuesLoader attribute)\ncredential (langchain.utilities.PowerBIDataset attribute)\ncredentials (langchain.llms.VertexAI attribute)\ncredentials_path (langchain.document_loaders.GoogleApiClient attribute)\n(langchain.document_loaders.GoogleDriveLoader attribute)\ncredentials_profile_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.SagemakerEndpoint attribute)\ncritique_chain (langchain.chains.ConstitutionalChain attribute)\nCSVLoader (class in langchain.document_loaders)\ncurrent_plan (langchain.experimental.GenerativeAgentMemory attribute)\ncustom_headers (langchain.utilities.GraphQLAPIWrapper attribute)\ncypher_generation_chain (langchain.chains.GraphCypherQAChain attribute)\nD\ndaily_summaries (langchain.experimental.GenerativeAgent attribute)\ndata (langchain.document_loaders.MathpixPDFLoader property)\ndatabase (langchain.chains.SQLDatabaseChain attribute)\n(langchain.vectorstores.MyScaleSettings attribute)\nDataberryRetriever (class in langchain.retrievers)\nDataFrameLoader (class in langchain.document_loaders)\ndataset_id (langchain.document_loaders.ApifyDatasetLoader attribute)\n(langchain.utilities.PowerBIDataset attribute)\ndataset_mapping_function (langchain.document_loaders.ApifyDatasetLoader attribute)\ndatastore_url (langchain.retrievers.DataberryRetriever attribute)\ndb (langchain.agents.agent_toolkits.SparkSQLToolkit attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-23", "text": "db (langchain.agents.agent_toolkits.SparkSQLToolkit attribute)\n(langchain.agents.agent_toolkits.SQLDatabaseToolkit attribute)\ndecay_rate (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\ndecider_chain (langchain.chains.SQLDatabaseSequentialChain attribute)\nDeepLake (class in langchain.vectorstores)\ndefault_output_key (langchain.output_parsers.RegexParser attribute)\ndefault_parser (langchain.document_loaders.WebBaseLoader attribute)\ndefault_request_timeout (langchain.llms.Anthropic attribute)\ndefault_salience (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\ndelete() (langchain.memory.InMemoryEntityStore method)\n(langchain.memory.RedisEntityStore method)\n(langchain.memory.SQLiteEntityStore method)\n(langchain.utilities.TextRequestsWrapper method)\n(langchain.vectorstores.DeepLake method)\ndelete_collection() (langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Chroma method)\ndelete_dataset() (langchain.vectorstores.DeepLake method)\ndeployment_name (langchain.chat_models.AzureChatOpenAI attribute)\n(langchain.llms.AzureOpenAI attribute)\ndescription (langchain.agents.agent_toolkits.VectorStoreInfo attribute)\n(langchain.agents.Tool attribute)\n(langchain.output_parsers.ResponseSchema attribute)\n(langchain.tools.APIOperation attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.ClickTool attribute)\n(langchain.tools.CopyFileTool attribute)\n(langchain.tools.CurrentWebPageTool attribute)\n(langchain.tools.DeleteFileTool attribute)\n(langchain.tools.ExtractHyperlinksTool attribute)\n(langchain.tools.ExtractTextTool attribute)\n(langchain.tools.FileSearchTool attribute)\n(langchain.tools.GetElementsTool attribute)\n(langchain.tools.GmailCreateDraft attribute)\n(langchain.tools.GmailGetMessage attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-24", "text": "(langchain.tools.GmailCreateDraft attribute)\n(langchain.tools.GmailGetMessage attribute)\n(langchain.tools.GmailGetThread attribute)\n(langchain.tools.GmailSearch attribute)\n(langchain.tools.GmailSendMessage attribute)\n(langchain.tools.ListDirectoryTool attribute)\n(langchain.tools.MoveFileTool attribute)\n(langchain.tools.NavigateBackTool attribute)\n(langchain.tools.NavigateTool attribute)\n(langchain.tools.ReadFileTool attribute)\n(langchain.tools.ShellTool attribute)\n(langchain.tools.StructuredTool attribute)\n(langchain.tools.Tool attribute)\n(langchain.tools.WriteFileTool attribute)\ndeserialize_json_input() (langchain.chains.OpenAPIEndpointChain method)\ndevice (langchain.llms.SelfHostedHuggingFaceLLM attribute)\ndialect (langchain.agents.agent_toolkits.SQLDatabaseToolkit property)\ndict() (langchain.agents.Agent method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\n(langchain.agents.LLMSingleActionAgent method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-25", "text": "(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\n(langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.FewShotPromptTemplate method)\n(langchain.prompts.FewShotPromptWithTemplates method)\nDiffbotLoader (class in langchain.document_loaders)\ndirection (langchain.document_loaders.GitHubIssuesLoader attribute)\nDirectoryLoader (class in langchain.document_loaders)\ndisallowed_special (langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-26", "text": "(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\nDiscordChatLoader (class in langchain.document_loaders)\ndo_sample (langchain.llms.NLPCloud attribute)\n(langchain.llms.Petals attribute)\ndoc_content_chars_max (langchain.utilities.ArxivAPIWrapper attribute)\n(langchain.utilities.WikipediaAPIWrapper attribute)\nDocArrayHnswSearch (class in langchain.vectorstores)\nDocArrayInMemorySearch (class in langchain.vectorstores)\ndocs (langchain.retrievers.TFIDFRetriever attribute)\ndocset_id (langchain.document_loaders.DocugamiLoader attribute)\ndocument_ids (langchain.document_loaders.DocugamiLoader attribute)\n(langchain.document_loaders.GoogleDriveLoader attribute)\nDocx2txtLoader (class in langchain.document_loaders)\ndownload() (langchain.document_loaders.BlackboardLoader method)\ndrive_id (langchain.document_loaders.OneDriveLoader attribute)\ndrop() (langchain.vectorstores.MyScale method)\ndrop_index() (langchain.vectorstores.Redis static method)\n(langchain.vectorstores.Tair static method)\ndrop_tables() (langchain.vectorstores.AnalyticDB method)\nDuckDBLoader (class in langchain.document_loaders)\nDynamoDBChatMessageHistory (class in langchain.memory)\nE\nearly_stopping (langchain.llms.NLPCloud attribute)\nearly_stopping_method (langchain.agents.AgentExecutor attribute)\necho (langchain.llms.AlephAlpha attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nElasticSearchBM25Retriever (class in langchain.retrievers)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-27", "text": "ElasticSearchBM25Retriever (class in langchain.retrievers)\nElasticsearchEmbeddings (class in langchain.embeddings)\nElasticVectorSearch (class in langchain.vectorstores)\nembed_documents() (langchain.chains.HypotheticalDocumentEmbedder method)\n(langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding method)\n(langchain.embeddings.AlephAlphaSymmetricSemanticEmbedding method)\n(langchain.embeddings.CohereEmbeddings method)\n(langchain.embeddings.ElasticsearchEmbeddings method)\n(langchain.embeddings.FakeEmbeddings method)\n(langchain.embeddings.HuggingFaceEmbeddings method)\n(langchain.embeddings.HuggingFaceHubEmbeddings method)\n(langchain.embeddings.HuggingFaceInstructEmbeddings method)\n(langchain.embeddings.LlamaCppEmbeddings method)\n(langchain.embeddings.MiniMaxEmbeddings method)\n(langchain.embeddings.ModelScopeEmbeddings method)\n(langchain.embeddings.MosaicMLInstructorEmbeddings method)\n(langchain.embeddings.OpenAIEmbeddings method)\n(langchain.embeddings.SagemakerEndpointEmbeddings method)\n(langchain.embeddings.SelfHostedEmbeddings method)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings method)\n(langchain.embeddings.TensorflowHubEmbeddings method)\nembed_instruction (langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\n(langchain.embeddings.MosaicMLInstructorEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)\nembed_query() (langchain.chains.HypotheticalDocumentEmbedder method)\n(langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding method)\n(langchain.embeddings.AlephAlphaSymmetricSemanticEmbedding method)\n(langchain.embeddings.CohereEmbeddings method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-28", "text": "(langchain.embeddings.CohereEmbeddings method)\n(langchain.embeddings.ElasticsearchEmbeddings method)\n(langchain.embeddings.FakeEmbeddings method)\n(langchain.embeddings.HuggingFaceEmbeddings method)\n(langchain.embeddings.HuggingFaceHubEmbeddings method)\n(langchain.embeddings.HuggingFaceInstructEmbeddings method)\n(langchain.embeddings.LlamaCppEmbeddings method)\n(langchain.embeddings.MiniMaxEmbeddings method)\n(langchain.embeddings.ModelScopeEmbeddings method)\n(langchain.embeddings.MosaicMLInstructorEmbeddings method)\n(langchain.embeddings.OpenAIEmbeddings method)\n(langchain.embeddings.SagemakerEndpointEmbeddings method)\n(langchain.embeddings.SelfHostedEmbeddings method)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings method)\n(langchain.embeddings.TensorflowHubEmbeddings method)\nembed_type_db (langchain.embeddings.MiniMaxEmbeddings attribute)\nembed_type_query (langchain.embeddings.MiniMaxEmbeddings attribute)\nembedding (langchain.llms.GPT4All attribute)\nembeddings (langchain.document_transformers.EmbeddingsRedundantFilter attribute)\n(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)\n(langchain.retrievers.KNNRetriever attribute)\n(langchain.retrievers.PineconeHybridSearchRetriever attribute)\n(langchain.retrievers.SVMRetriever attribute)\nencode_kwargs (langchain.embeddings.HuggingFaceEmbeddings attribute)\n(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\nendpoint_kwargs (langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.SagemakerEndpoint attribute)\nendpoint_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.Databricks attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-29", "text": "(langchain.llms.Databricks attribute)\n(langchain.llms.SagemakerEndpoint attribute)\nendpoint_url (langchain.embeddings.MiniMaxEmbeddings attribute)\n(langchain.embeddings.MosaicMLInstructorEmbeddings attribute)\n(langchain.llms.CerebriumAI attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.HuggingFaceEndpoint attribute)\n(langchain.llms.Modal attribute)\n(langchain.llms.MosaicML attribute)\nengines (langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nentity_cache (langchain.memory.ConversationEntityMemory attribute)\nentity_extraction_chain (langchain.chains.GraphQAChain attribute)\nentity_extraction_prompt (langchain.memory.ConversationEntityMemory attribute)\n(langchain.memory.ConversationKGMemory attribute)\nentity_store (langchain.memory.ConversationEntityMemory attribute)\nentity_summarization_prompt (langchain.memory.ConversationEntityMemory attribute)\nerror (langchain.chains.OpenAIModerationChain attribute)\nescape_str() (langchain.vectorstores.MyScale method)\nEverNoteLoader (class in langchain.document_loaders)\nexample_keys (langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)\nexample_prompt (langchain.prompts.example_selector.LengthBasedExampleSelector attribute)\n(langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\nexample_selector (langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\nexample_separator (langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\nexamples (langchain.agents.agent_toolkits.PowerBIToolkit attribute)\n(langchain.prompts.example_selector.LengthBasedExampleSelector attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-30", "text": "(langchain.prompts.example_selector.LengthBasedExampleSelector attribute)\n(langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\n(langchain.tools.QueryPowerBITool attribute)\nexecutable_path (langchain.document_loaders.SeleniumURLLoader attribute)\nexecute_task() (langchain.experimental.BabyAGI method)\nexists() (langchain.memory.InMemoryEntityStore method)\n(langchain.memory.RedisEntityStore method)\n(langchain.memory.SQLiteEntityStore method)\nextra (langchain.retrievers.WeaviateHybridSearchRetriever.Config attribute)\nextract_video_id() (langchain.document_loaders.YoutubeLoader static method)\nF\nf16_kv (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nFacebookChatLoader (class in langchain.document_loaders)\nFAISS (class in langchain.vectorstores)\nfetch_all() (langchain.document_loaders.WebBaseLoader method)\nfetch_data_from_telegram() (langchain.document_loaders.TelegramChatApiLoader method)\nfetch_k (langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector attribute)\nfetch_memories() (langchain.experimental.GenerativeAgentMemory method)\nfetch_place_details() (langchain.utilities.GooglePlacesAPIWrapper method)\nfile_ids (langchain.document_loaders.GoogleDriveLoader attribute)\nfile_paths (langchain.document_loaders.DocugamiLoader attribute)\nfile_types (langchain.document_loaders.GoogleDriveLoader attribute)\nFileChatMessageHistory (class in langchain.memory)\nfilter (langchain.retrievers.ChatGPTPluginRetriever attribute)\nfolder_id (langchain.document_loaders.GoogleDriveLoader attribute)\nfolder_path (langchain.document_loaders.BlackboardLoader attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-31", "text": "folder_path (langchain.document_loaders.BlackboardLoader attribute)\n(langchain.document_loaders.OneDriveLoader attribute)\nforce_delete_by_path() (langchain.vectorstores.DeepLake class method)\nformat (langchain.output_parsers.DatetimeOutputParser attribute)\nformat() (langchain.prompts.BaseChatPromptTemplate method)\n(langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.ChatPromptTemplate method)\n(langchain.prompts.FewShotPromptTemplate method)\n(langchain.prompts.FewShotPromptWithTemplates method)\n(langchain.prompts.PromptTemplate method)\nformat_messages() (langchain.prompts.BaseChatPromptTemplate method)\n(langchain.prompts.ChatPromptTemplate method)\n(langchain.prompts.MessagesPlaceholder method)\nformat_place_details() (langchain.utilities.GooglePlacesAPIWrapper method)\nformat_prompt() (langchain.prompts.BaseChatPromptTemplate method)\n(langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.StringPromptTemplate method)\nfrequency_penalty (langchain.llms.AlephAlpha attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\nfrequencyPenalty (langchain.llms.AI21 attribute)\nfrom_agent_and_tools() (langchain.agents.AgentExecutor class method)\nfrom_api_operation() (langchain.chains.OpenAPIEndpointChain class method)\nfrom_bearer_token() (langchain.document_loaders.TwitterTweetLoader class method)\nfrom_browser() (langchain.agents.agent_toolkits.PlayWrightBrowserToolkit class method)\nfrom_chains() (langchain.agents.MRKLChain class method)\nfrom_client_params() (langchain.memory.MomentoChatMessageHistory class method)\n(langchain.vectorstores.Typesense class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-32", "text": "(langchain.vectorstores.Typesense class method)\nfrom_colored_object_prompt() (langchain.chains.PALChain class method)\nfrom_connection_string() (langchain.vectorstores.MongoDBAtlasVectorSearch class method)\nfrom_credentials() (langchain.document_loaders.TrelloLoader class method)\n(langchain.embeddings.ElasticsearchEmbeddings class method)\nfrom_documents() (langchain.retrievers.TFIDFRetriever class method)\n(langchain.vectorstores.AnalyticDB class method)\n(langchain.vectorstores.AtlasDB class method)\n(langchain.vectorstores.Chroma class method)\n(langchain.vectorstores.Tair class method)\n(langchain.vectorstores.VectorStore class method)\nfrom_embeddings() (langchain.vectorstores.Annoy class method)\n(langchain.vectorstores.FAISS class method)\nfrom_es_connection() (langchain.embeddings.ElasticsearchEmbeddings class method)\nfrom_examples() (langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector class method)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector class method)\n(langchain.prompts.PromptTemplate class method)\nfrom_existing_index() (langchain.vectorstores.Pinecone class method)\n(langchain.vectorstores.Redis class 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method)\nfrom_llm_and_api_docs() (langchain.chains.APIChain class method)\nfrom_llm_and_spec() (langchain.agents.agent_toolkits.NLAToolkit class method)\nfrom_llm_and_tools() (langchain.agents.Agent class method)\n(langchain.agents.BaseSingleActionAgent class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-34", "text": "(langchain.agents.BaseSingleActionAgent class method)\n(langchain.agents.ConversationalAgent class method)\n(langchain.agents.ConversationalChatAgent class method)\n(langchain.agents.StructuredChatAgent class method)\n(langchain.agents.ZeroShotAgent class method)\nfrom_llm_and_url() (langchain.agents.agent_toolkits.NLAToolkit class method)\nfrom_math_prompt() (langchain.chains.PALChain class method)\nfrom_messages() (langchain.memory.ConversationSummaryMemory class method)\nfrom_model_id() (langchain.llms.HuggingFacePipeline class method)\nfrom_number (langchain.utilities.TwilioAPIWrapper attribute)\nfrom_openapi_spec() (langchain.tools.APIOperation class method)\nfrom_openapi_url() (langchain.tools.APIOperation class method)\nfrom_params() (langchain.chains.MapReduceChain class method)\n(langchain.document_loaders.WeatherDataLoader class method)\n(langchain.retrievers.VespaRetriever class method)\n(langchain.vectorstores.DocArrayHnswSearch class method)\n(langchain.vectorstores.DocArrayInMemorySearch class method)\nfrom_pipeline() (langchain.llms.SelfHostedHuggingFaceLLM class method)\n(langchain.llms.SelfHostedPipeline class method)\nfrom_plugin_url() (langchain.tools.AIPluginTool class method)\nfrom_rail() (langchain.output_parsers.GuardrailsOutputParser class method)\nfrom_rail_string() (langchain.output_parsers.GuardrailsOutputParser class method)\nfrom_response_schemas() (langchain.output_parsers.StructuredOutputParser class method)\nfrom_secrets() (langchain.document_loaders.TwitterTweetLoader class method)\nfrom_spec_dict() (langchain.tools.OpenAPISpec class method)\nfrom_string() (langchain.chains.LLMChain class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-35", "text": "from_string() (langchain.chains.LLMChain class method)\nfrom_template() (langchain.prompts.PromptTemplate class method)\nfrom_text() (langchain.tools.OpenAPISpec class method)\nfrom_texts() (langchain.retrievers.KNNRetriever class method)\n(langchain.retrievers.SVMRetriever class method)\n(langchain.retrievers.TFIDFRetriever class method)\n(langchain.vectorstores.AnalyticDB class method)\n(langchain.vectorstores.Annoy class method)\n(langchain.vectorstores.AtlasDB class method)\n(langchain.vectorstores.Chroma class method)\n(langchain.vectorstores.DeepLake class method)\n(langchain.vectorstores.DocArrayHnswSearch class method)\n(langchain.vectorstores.DocArrayInMemorySearch class method)\n(langchain.vectorstores.ElasticVectorSearch class method)\n(langchain.vectorstores.FAISS class method)\n(langchain.vectorstores.LanceDB class 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class method)\nfrom_tiktoken_encoder() (langchain.text_splitter.TextSplitter class method)\nfrom_uri() (langchain.utilities.SparkSQL class method)\nfrom_url() (langchain.tools.OpenAPISpec class method)\nfrom_url_and_method() (langchain.chains.OpenAPIEndpointChain class method)\nfrom_youtube_url() (langchain.document_loaders.YoutubeLoader class method)\nfrom_zapier_nla_wrapper() (langchain.agents.agent_toolkits.ZapierToolkit class method)\nFRONT_MATTER_REGEX (langchain.document_loaders.ObsidianLoader attribute)\nfull_key_prefix (langchain.memory.RedisEntityStore property)\nfull_table_name (langchain.memory.SQLiteEntityStore property)\nfunc (langchain.agents.Tool attribute)\n(langchain.tools.StructuredTool attribute)\n(langchain.tools.Tool attribute)\nfunction_name (langchain.utilities.LambdaWrapper attribute)\nG\nGCSDirectoryLoader (class in langchain.document_loaders)\nGCSFileLoader (class in langchain.document_loaders)\ngenerate() (langchain.chains.LLMChain method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-37", "text": "(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM 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method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-45", "text": "(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\nget_tools() (langchain.agents.agent_toolkits.AzureCognitiveServicesToolkit method)\n(langchain.agents.agent_toolkits.FileManagementToolkit method)\n(langchain.agents.agent_toolkits.GmailToolkit method)\n(langchain.agents.agent_toolkits.JiraToolkit method)\n(langchain.agents.agent_toolkits.JsonToolkit method)\n(langchain.agents.agent_toolkits.NLAToolkit method)\n(langchain.agents.agent_toolkits.OpenAPIToolkit method)\n(langchain.agents.agent_toolkits.PlayWrightBrowserToolkit method)\n(langchain.agents.agent_toolkits.PowerBIToolkit method)\n(langchain.agents.agent_toolkits.SparkSQLToolkit method)\n(langchain.agents.agent_toolkits.SQLDatabaseToolkit method)\n(langchain.agents.agent_toolkits.VectorStoreRouterToolkit method)\n(langchain.agents.agent_toolkits.VectorStoreToolkit method)\n(langchain.agents.agent_toolkits.ZapierToolkit method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-46", "text": "(langchain.agents.agent_toolkits.ZapierToolkit method)\nget_usable_table_names() (langchain.utilities.SparkSQL method)\nGitbookLoader (class in langchain.document_loaders)\nGitLoader (class in langchain.document_loaders)\ngl (langchain.utilities.GoogleSerperAPIWrapper attribute)\nglobals (langchain.python.PythonREPL attribute)\n(langchain.utilities.PythonREPL attribute)\nGO (langchain.text_splitter.Language attribute)\ngoogle_api_client (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\ngoogle_api_key (langchain.chat_models.ChatGooglePalm attribute)\n(langchain.utilities.GoogleSearchAPIWrapper attribute)\ngoogle_cse_id (langchain.utilities.GoogleSearchAPIWrapper attribute)\nGoogleApiClient (class in langchain.document_loaders)\nGoogleApiYoutubeLoader (class in langchain.document_loaders)\ngplaces_api_key (langchain.utilities.GooglePlacesAPIWrapper attribute)\ngraph (langchain.chains.GraphCypherQAChain attribute)\n(langchain.chains.GraphQAChain attribute)\ngraphql_endpoint (langchain.utilities.GraphQLAPIWrapper attribute)\ngroup_id (langchain.utilities.PowerBIDataset attribute)\nguard (langchain.output_parsers.GuardrailsOutputParser attribute)\nGutenbergLoader (class in langchain.document_loaders)\nH\nhandle_parsing_errors (langchain.agents.AgentExecutor attribute)\nhandle_tool_error (langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)\nhardware (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\nheaders (langchain.document_loaders.MathpixPDFLoader property)\n(langchain.retrievers.RemoteLangChainRetriever attribute)\n(langchain.utilities.PowerBIDataset property)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-47", "text": "(langchain.utilities.PowerBIDataset property)\n(langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\n(langchain.utilities.TextRequestsWrapper attribute)\nheadless (langchain.document_loaders.PlaywrightURLLoader attribute)\n(langchain.document_loaders.SeleniumURLLoader attribute)\nhl (langchain.utilities.GoogleSerperAPIWrapper attribute)\nHNLoader (class in langchain.document_loaders)\nhost (langchain.llms.Databricks attribute)\n(langchain.vectorstores.MyScaleSettings attribute)\nhosting (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\nHtmlTextSplitter (class in langchain.text_splitter)\nHuggingFaceDatasetLoader (class in langchain.document_loaders)\nhuman_prefix (langchain.memory.ConversationBufferMemory attribute)\n(langchain.memory.ConversationBufferWindowMemory attribute)\n(langchain.memory.ConversationEntityMemory attribute)\n(langchain.memory.ConversationKGMemory attribute)\n(langchain.memory.ConversationStringBufferMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory attribute)\nI\nIFixitLoader (class in langchain.document_loaders)\nImageCaptionLoader (class in langchain.document_loaders)\nimpersonated_user_name (langchain.utilities.PowerBIDataset attribute)\nimportance_weight (langchain.experimental.GenerativeAgentMemory attribute)\nIMSDbLoader (class in langchain.document_loaders)\ninclude_prs (langchain.document_loaders.GitHubIssuesLoader attribute)\nindex (langchain.retrievers.KNNRetriever attribute)\n(langchain.retrievers.PineconeHybridSearchRetriever attribute)\n(langchain.retrievers.SVMRetriever attribute)\nindex_name (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\nindex_param (langchain.vectorstores.MyScaleSettings attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-48", "text": "index_param (langchain.vectorstores.MyScaleSettings attribute)\nindex_type (langchain.vectorstores.MyScaleSettings attribute)\ninference_fn (langchain.embeddings.SelfHostedEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\ninference_kwargs (langchain.embeddings.SelfHostedEmbeddings attribute)\ninitialize_agent() (in module langchain.agents)\ninject_instruction_format (langchain.llms.MosaicML attribute)\nInMemoryDocstore (class in langchain.docstore)\nInMemoryEntityStore (class in langchain.memory)\ninput_func (langchain.tools.HumanInputRun attribute)\ninput_key (langchain.chains.QAGenerationChain attribute)\n(langchain.memory.ConversationStringBufferMemory attribute)\n(langchain.memory.VectorStoreRetrieverMemory attribute)\n(langchain.retrievers.RemoteLangChainRetriever attribute)\ninput_keys (langchain.chains.ConstitutionalChain property)\n(langchain.chains.ConversationChain property)\n(langchain.chains.FlareChain property)\n(langchain.chains.HypotheticalDocumentEmbedder property)\n(langchain.chains.QAGenerationChain property)\n(langchain.experimental.BabyAGI property)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)\ninput_variables (langchain.chains.SequentialChain attribute)\n(langchain.chains.TransformChain attribute)\n(langchain.prompts.BasePromptTemplate attribute)\n(langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\n(langchain.prompts.MessagesPlaceholder property)\n(langchain.prompts.PromptTemplate attribute)\nis_public_page() (langchain.document_loaders.ConfluenceLoader method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-49", "text": "is_public_page() (langchain.document_loaders.ConfluenceLoader method)\nis_single_input (langchain.tools.BaseTool property)\nJ\nJAVA (langchain.text_splitter.Language attribute)\nJoplinLoader (class in langchain.document_loaders)\nJS (langchain.text_splitter.Language attribute)\njson() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-50", "text": "(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\njson_agent (langchain.agents.agent_toolkits.OpenAPIToolkit attribute)\nJSONLoader (class in langchain.document_loaders)\nK\nk (langchain.chains.QAGenerationChain attribute)\n(langchain.chains.VectorDBQA attribute)\n(langchain.chains.VectorDBQAWithSourcesChain attribute)\n(langchain.llms.Cohere attribute)\n(langchain.memory.ConversationBufferWindowMemory attribute)\n(langchain.memory.ConversationEntityMemory attribute)\n(langchain.memory.ConversationKGMemory attribute)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)\n(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)\n(langchain.retrievers.KNNRetriever attribute)\n(langchain.retrievers.SVMRetriever attribute)\n(langchain.retrievers.TFIDFRetriever attribute)\n(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\n(langchain.utilities.BingSearchAPIWrapper attribute)\n(langchain.utilities.DuckDuckGoSearchAPIWrapper attribute)\n(langchain.utilities.GoogleSearchAPIWrapper attribute)\n(langchain.utilities.GoogleSerperAPIWrapper attribute)\n(langchain.utilities.MetaphorSearchAPIWrapper attribute)\n(langchain.utilities.searx_search.SearxSearchWrapper attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-51", "text": "(langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nkey (langchain.memory.RedisChatMessageHistory property)\nkey_prefix (langchain.memory.RedisEntityStore attribute)\nkg (langchain.memory.ConversationKGMemory attribute)\nknowledge_extraction_prompt (langchain.memory.ConversationKGMemory attribute)\nL\nlabels (langchain.document_loaders.GitHubIssuesLoader attribute)\nLanceDB (class in langchain.vectorstores)\nlang (langchain.utilities.WikipediaAPIWrapper attribute)\n langchain.agents\n \nmodule\n langchain.agents.agent_toolkits\n \nmodule\n langchain.chains\n \nmodule\n langchain.chat_models\n \nmodule\n langchain.docstore\n \nmodule\n langchain.document_loaders\n \nmodule\n langchain.document_transformers\n \nmodule\n langchain.embeddings\n \nmodule\n langchain.llms\n \nmodule\n langchain.memory\n \nmodule\n langchain.output_parsers\n \nmodule\n langchain.prompts\n \nmodule\n langchain.prompts.example_selector\n \nmodule\n langchain.python\n \nmodule\n langchain.retrievers\n \nmodule\n langchain.retrievers.document_compressors\n \nmodule\n langchain.serpapi\n \nmodule\n langchain.text_splitter\n \nmodule\n langchain.tools\n \nmodule\n langchain.utilities\n \nmodule\n langchain.utilities.searx_search\n \nmodule\n langchain.vectorstores\n \nmodule\nLanguage (class in langchain.text_splitter)\nlast_n_tokens_size (langchain.llms.LlamaCpp attribute)\nlast_refreshed (langchain.experimental.GenerativeAgent attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-52", "text": "last_refreshed (langchain.experimental.GenerativeAgent attribute)\nLATEX (langchain.text_splitter.Language attribute)\nLatexTextSplitter (class in langchain.text_splitter)\nlazy_load() (langchain.document_loaders.BibtexLoader method)\n(langchain.document_loaders.GitHubIssuesLoader method)\n(langchain.document_loaders.HuggingFaceDatasetLoader method)\n(langchain.document_loaders.JoplinLoader method)\n(langchain.document_loaders.PDFMinerLoader method)\n(langchain.document_loaders.PyPDFium2Loader method)\n(langchain.document_loaders.PyPDFLoader method)\n(langchain.document_loaders.PySparkDataFrameLoader method)\n(langchain.document_loaders.ToMarkdownLoader method)\n(langchain.document_loaders.TomlLoader method)\n(langchain.document_loaders.WeatherDataLoader method)\nlength (langchain.llms.ForefrontAI attribute)\nlength_no_input (langchain.llms.NLPCloud attribute)\nlength_penalty (langchain.llms.NLPCloud attribute)\nlib (langchain.llms.CTransformers attribute)\nlist_assertions_prompt (langchain.chains.LLMCheckerChain attribute)\nllm (langchain.agents.agent_toolkits.PowerBIToolkit attribute)\n(langchain.agents.agent_toolkits.SparkSQLToolkit attribute)\n(langchain.agents.agent_toolkits.SQLDatabaseToolkit attribute)\n(langchain.agents.agent_toolkits.VectorStoreRouterToolkit attribute)\n(langchain.agents.agent_toolkits.VectorStoreToolkit attribute)\n(langchain.chains.LLMBashChain attribute)\n(langchain.chains.LLMChain attribute)\n(langchain.chains.LLMCheckerChain attribute)\n(langchain.chains.LLMMathChain attribute)\n(langchain.chains.LLMSummarizationCheckerChain attribute)\n(langchain.chains.PALChain attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-53", "text": "(langchain.chains.PALChain attribute)\n(langchain.chains.SQLDatabaseChain attribute)\n(langchain.experimental.GenerativeAgent attribute)\n(langchain.experimental.GenerativeAgentMemory attribute)\n(langchain.memory.ConversationEntityMemory attribute)\n(langchain.memory.ConversationKGMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory attribute)\nllm_chain (langchain.agents.Agent attribute)\n(langchain.agents.LLMSingleActionAgent attribute)\n(langchain.chains.HypotheticalDocumentEmbedder attribute)\n(langchain.chains.LLMBashChain attribute)\n(langchain.chains.LLMMathChain attribute)\n(langchain.chains.LLMRequestsChain attribute)\n(langchain.chains.PALChain attribute)\n(langchain.chains.QAGenerationChain attribute)\n(langchain.chains.SQLDatabaseChain attribute)\n(langchain.retrievers.document_compressors.LLMChainExtractor attribute)\n(langchain.retrievers.document_compressors.LLMChainFilter attribute)\n(langchain.retrievers.SelfQueryRetriever attribute)\n(langchain.tools.QueryPowerBITool attribute)\nllm_prefix (langchain.agents.Agent property)\n(langchain.agents.ConversationalAgent property)\n(langchain.agents.ConversationalChatAgent property)\n(langchain.agents.StructuredChatAgent property)\n(langchain.agents.ZeroShotAgent property)\nload() (langchain.document_loaders.AirbyteJSONLoader method)\n(langchain.document_loaders.ApifyDatasetLoader method)\n(langchain.document_loaders.ArxivLoader method)\n(langchain.document_loaders.AZLyricsLoader method)\n(langchain.document_loaders.AzureBlobStorageContainerLoader method)\n(langchain.document_loaders.AzureBlobStorageFileLoader method)\n(langchain.document_loaders.BibtexLoader method)\n(langchain.document_loaders.BigQueryLoader method)\n(langchain.document_loaders.BiliBiliLoader method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-54", "text": "(langchain.document_loaders.BiliBiliLoader method)\n(langchain.document_loaders.BlackboardLoader method)\n(langchain.document_loaders.BlockchainDocumentLoader method)\n(langchain.document_loaders.BSHTMLLoader method)\n(langchain.document_loaders.ChatGPTLoader method)\n(langchain.document_loaders.CollegeConfidentialLoader method)\n(langchain.document_loaders.ConfluenceLoader method)\n(langchain.document_loaders.CoNLLULoader method)\n(langchain.document_loaders.CSVLoader method)\n(langchain.document_loaders.DataFrameLoader method)\n(langchain.document_loaders.DiffbotLoader method)\n(langchain.document_loaders.DirectoryLoader method)\n(langchain.document_loaders.DiscordChatLoader method)\n(langchain.document_loaders.DocugamiLoader method)\n(langchain.document_loaders.Docx2txtLoader method)\n(langchain.document_loaders.DuckDBLoader method)\n(langchain.document_loaders.EverNoteLoader method)\n(langchain.document_loaders.FacebookChatLoader method)\n(langchain.document_loaders.GCSDirectoryLoader method)\n(langchain.document_loaders.GCSFileLoader method)\n(langchain.document_loaders.GitbookLoader method)\n(langchain.document_loaders.GitHubIssuesLoader method)\n(langchain.document_loaders.GitLoader method)\n(langchain.document_loaders.GoogleApiYoutubeLoader method)\n(langchain.document_loaders.GoogleDriveLoader method)\n(langchain.document_loaders.GutenbergLoader method)\n(langchain.document_loaders.HNLoader method)\n(langchain.document_loaders.HuggingFaceDatasetLoader method)\n(langchain.document_loaders.IFixitLoader method)\n(langchain.document_loaders.ImageCaptionLoader method)\n(langchain.document_loaders.IMSDbLoader method)\n(langchain.document_loaders.JoplinLoader method)\n(langchain.document_loaders.JSONLoader method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-55", "text": "(langchain.document_loaders.JSONLoader method)\n(langchain.document_loaders.MastodonTootsLoader method)\n(langchain.document_loaders.MathpixPDFLoader method)\n(langchain.document_loaders.ModernTreasuryLoader method)\n(langchain.document_loaders.MWDumpLoader method)\n(langchain.document_loaders.NotebookLoader method)\n(langchain.document_loaders.NotionDBLoader method)\n(langchain.document_loaders.NotionDirectoryLoader method)\n(langchain.document_loaders.ObsidianLoader method)\n(langchain.document_loaders.OneDriveLoader method)\n(langchain.document_loaders.OnlinePDFLoader method)\n(langchain.document_loaders.OutlookMessageLoader method)\n(langchain.document_loaders.PDFMinerLoader method)\n(langchain.document_loaders.PDFMinerPDFasHTMLLoader method)\n(langchain.document_loaders.PDFPlumberLoader method)\n(langchain.document_loaders.PlaywrightURLLoader method)\n(langchain.document_loaders.PsychicLoader method)\n(langchain.document_loaders.PyMuPDFLoader method)\n(langchain.document_loaders.PyPDFDirectoryLoader method)\n(langchain.document_loaders.PyPDFium2Loader method)\n(langchain.document_loaders.PyPDFLoader method)\n(langchain.document_loaders.PySparkDataFrameLoader method)\n(langchain.document_loaders.ReadTheDocsLoader method)\n(langchain.document_loaders.RedditPostsLoader method)\n(langchain.document_loaders.RoamLoader method)\n(langchain.document_loaders.S3DirectoryLoader method)\n(langchain.document_loaders.S3FileLoader method)\n(langchain.document_loaders.SeleniumURLLoader method)\n(langchain.document_loaders.SitemapLoader method)\n(langchain.document_loaders.SlackDirectoryLoader method)\n(langchain.document_loaders.SpreedlyLoader method)\n(langchain.document_loaders.SRTLoader method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-56", "text": "(langchain.document_loaders.SRTLoader method)\n(langchain.document_loaders.StripeLoader method)\n(langchain.document_loaders.TelegramChatApiLoader method)\n(langchain.document_loaders.TelegramChatFileLoader method)\n(langchain.document_loaders.TextLoader method)\n(langchain.document_loaders.ToMarkdownLoader method)\n(langchain.document_loaders.TomlLoader method)\n(langchain.document_loaders.TrelloLoader method)\n(langchain.document_loaders.TwitterTweetLoader method)\n(langchain.document_loaders.UnstructuredURLLoader method)\n(langchain.document_loaders.WeatherDataLoader method)\n(langchain.document_loaders.WebBaseLoader method)\n(langchain.document_loaders.WhatsAppChatLoader method)\n(langchain.document_loaders.WikipediaLoader method)\n(langchain.document_loaders.YoutubeLoader method)\n(langchain.utilities.ArxivAPIWrapper method)\n(langchain.utilities.WikipediaAPIWrapper method)\nload_agent() (in module langchain.agents)\nload_all_available_meta (langchain.utilities.ArxivAPIWrapper attribute)\n(langchain.utilities.WikipediaAPIWrapper attribute)\nload_all_recursively (langchain.document_loaders.BlackboardLoader attribute)\nload_chain() (in module langchain.chains)\nload_comments() (langchain.document_loaders.HNLoader method)\nload_device() (langchain.document_loaders.IFixitLoader method)\nload_file() (langchain.document_loaders.DirectoryLoader method)\nload_fn_kwargs (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\nload_guide() (langchain.document_loaders.IFixitLoader method)\nload_huggingface_tool() (in module langchain.agents)\nload_local() (langchain.vectorstores.Annoy class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-57", "text": "load_local() (langchain.vectorstores.Annoy class method)\n(langchain.vectorstores.FAISS class method)\nload_max_docs (langchain.utilities.ArxivAPIWrapper attribute)\nload_memory_variables() (langchain.experimental.GenerativeAgentMemory method)\n(langchain.memory.CombinedMemory method)\n(langchain.memory.ConversationBufferMemory method)\n(langchain.memory.ConversationBufferWindowMemory method)\n(langchain.memory.ConversationEntityMemory method)\n(langchain.memory.ConversationKGMemory method)\n(langchain.memory.ConversationStringBufferMemory method)\n(langchain.memory.ConversationSummaryBufferMemory method)\n(langchain.memory.ConversationSummaryMemory method)\n(langchain.memory.ConversationTokenBufferMemory method)\n(langchain.memory.ReadOnlySharedMemory method)\n(langchain.memory.SimpleMemory method)\n(langchain.memory.VectorStoreRetrieverMemory method)\nload_messages() (langchain.memory.CosmosDBChatMessageHistory method)\nload_page() (langchain.document_loaders.NotionDBLoader method)\nload_prompt() (in module langchain.prompts)\nload_questions_and_answers() (langchain.document_loaders.IFixitLoader method)\nload_results() (langchain.document_loaders.HNLoader method)\nload_suggestions() (langchain.document_loaders.IFixitLoader static method)\nload_tools() (in module langchain.agents)\nload_trashed_files (langchain.document_loaders.GoogleDriveLoader attribute)\nlocals (langchain.python.PythonREPL attribute)\n(langchain.utilities.PythonREPL attribute)\nlocation (langchain.llms.VertexAI attribute)\nlog_probs (langchain.llms.AlephAlpha attribute)\nlogit_bias (langchain.llms.AlephAlpha attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.OpenAI attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-58", "text": "(langchain.llms.GooseAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\nlogitBias (langchain.llms.AI21 attribute)\nlogits_all (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nlogprobs (langchain.llms.LlamaCpp attribute)\n(langchain.llms.Writer attribute)\nlookup_tool() (langchain.agents.AgentExecutor method)\nlora_base (langchain.llms.LlamaCpp attribute)\nlora_path (langchain.llms.LlamaCpp attribute)\nM\nMARKDOWN (langchain.text_splitter.Language attribute)\nMarkdownTextSplitter (class in langchain.text_splitter)\nMastodonTootsLoader (class in langchain.document_loaders)\nMathpixPDFLoader (class in langchain.document_loaders)\nmax_checks (langchain.chains.LLMSummarizationCheckerChain attribute)\nmax_execution_time (langchain.agents.AgentExecutor attribute)\nmax_iter (langchain.chains.FlareChain attribute)\nmax_iterations (langchain.agents.agent_toolkits.PowerBIToolkit attribute)\n(langchain.agents.AgentExecutor attribute)\n(langchain.tools.QueryPowerBITool attribute)\nmax_length (langchain.llms.NLPCloud attribute)\n(langchain.llms.Petals attribute)\n(langchain.prompts.example_selector.LengthBasedExampleSelector attribute)\nmax_marginal_relevance_search() (langchain.vectorstores.Annoy method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.Qdrant method)\n(langchain.vectorstores.SKLearnVectorStore method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-59", "text": "(langchain.vectorstores.SKLearnVectorStore method)\n(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.VectorStore method)\n(langchain.vectorstores.Weaviate method)\nmax_marginal_relevance_search_by_vector() (langchain.vectorstores.Annoy method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.SKLearnVectorStore method)\n(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.VectorStore method)\n(langchain.vectorstores.Weaviate method)\nmax_new_tokens (langchain.llms.Petals attribute)\nmax_output_tokens (langchain.llms.GooglePalm attribute)\n(langchain.llms.VertexAI attribute)\nmax_results (langchain.utilities.DuckDuckGoSearchAPIWrapper attribute)\nmax_retries (langchain.chat_models.ChatOpenAI attribute)\n(langchain.embeddings.OpenAIEmbeddings attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\nmax_token_limit (langchain.memory.ConversationSummaryBufferMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory attribute)\nmax_tokens (langchain.chat_models.ChatOpenAI attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.PredictionGuard attribute)\n(langchain.llms.Writer attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-60", "text": "(langchain.llms.PredictionGuard attribute)\n(langchain.llms.Writer attribute)\nmax_tokens_for_prompt() (langchain.llms.AzureOpenAI method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenLM method)\n(langchain.llms.PromptLayerOpenAI method)\nmax_tokens_limit (langchain.chains.ConversationalRetrievalChain attribute)\n(langchain.chains.RetrievalQAWithSourcesChain attribute)\n(langchain.chains.VectorDBQAWithSourcesChain attribute)\nmax_tokens_per_generation (langchain.llms.RWKV attribute)\nmax_tokens_to_sample (langchain.llms.Anthropic attribute)\nmaximum_tokens (langchain.llms.AlephAlpha attribute)\nmaxTokens (langchain.llms.AI21 attribute)\nmemories (langchain.memory.CombinedMemory attribute)\n(langchain.memory.SimpleMemory attribute)\nmemory (langchain.chains.ConversationChain attribute)\n(langchain.experimental.GenerativeAgent attribute)\n(langchain.memory.ReadOnlySharedMemory attribute)\nmemory_key (langchain.memory.ConversationSummaryBufferMemory attribute)\n(langchain.memory.ConversationTokenBufferMemory attribute)\n(langchain.memory.VectorStoreRetrieverMemory attribute)\nmemory_retriever (langchain.experimental.GenerativeAgentMemory attribute)\nmemory_stream (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\nmemory_variables (langchain.experimental.GenerativeAgentMemory property)\n(langchain.memory.CombinedMemory property)\n(langchain.memory.ConversationStringBufferMemory property)\n(langchain.memory.ReadOnlySharedMemory property)\n(langchain.memory.SimpleMemory property)\n(langchain.memory.VectorStoreRetrieverMemory property)\nmentioned (langchain.document_loaders.GitHubIssuesLoader attribute)\nmerge_from() (langchain.vectorstores.FAISS method)\nmessages (langchain.memory.CassandraChatMessageHistory property)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-61", "text": "messages (langchain.memory.CassandraChatMessageHistory property)\n(langchain.memory.ChatMessageHistory attribute)\n(langchain.memory.DynamoDBChatMessageHistory property)\n(langchain.memory.FileChatMessageHistory property)\n(langchain.memory.MomentoChatMessageHistory property)\n(langchain.memory.MongoDBChatMessageHistory property)\n(langchain.memory.PostgresChatMessageHistory property)\n(langchain.memory.RedisChatMessageHistory property)\nmetadata_column (langchain.vectorstores.MyScale property)\nmetadata_key (langchain.retrievers.RemoteLangChainRetriever attribute)\nMETADATA_KEY (langchain.vectorstores.Qdrant attribute)\nMetalRetriever (class in langchain.retrievers)\nmetaphor_api_key (langchain.utilities.MetaphorSearchAPIWrapper attribute)\nmethod (langchain.tools.APIOperation attribute)\nmetric (langchain.vectorstores.MyScaleSettings attribute)\nmilestone (langchain.document_loaders.GitHubIssuesLoader attribute)\nMilvus (class in langchain.vectorstores)\nmin_chunk_size (langchain.document_loaders.DocugamiLoader attribute)\nmin_length (langchain.llms.NLPCloud attribute)\nmin_prob (langchain.chains.FlareChain attribute)\nmin_token_gap (langchain.chains.FlareChain attribute)\nmin_tokens (langchain.llms.GooseAI attribute)\n(langchain.llms.Writer attribute)\nminimax_api_key (langchain.embeddings.MiniMaxEmbeddings attribute)\nminimax_group_id (langchain.embeddings.MiniMaxEmbeddings attribute)\nminimum_tokens (langchain.llms.AlephAlpha attribute)\nminTokens (langchain.llms.AI21 attribute)\nmodel (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\n(langchain.embeddings.CohereEmbeddings attribute)\n(langchain.embeddings.MiniMaxEmbeddings attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-62", "text": "(langchain.embeddings.MiniMaxEmbeddings attribute)\n(langchain.llms.AI21 attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.CTransformers attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.PredictionGuard attribute)\n(langchain.llms.RWKV attribute)\n(langchain.retrievers.document_compressors.CohereRerank attribute)\nmodel_file (langchain.llms.CTransformers attribute)\nmodel_id (langchain.embeddings.ModelScopeEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)\n(langchain.llms.HuggingFacePipeline attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.Writer attribute)\nmodel_key (langchain.llms.Banana attribute)\nmodel_kwargs (langchain.chat_models.ChatOpenAI attribute)\n(langchain.embeddings.HuggingFaceEmbeddings attribute)\n(langchain.embeddings.HuggingFaceHubEmbeddings attribute)\n(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\n(langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.Anyscale attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Banana attribute)\n(langchain.llms.Beam attribute)\n(langchain.llms.CerebriumAI attribute)\n(langchain.llms.Databricks attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.HuggingFaceEndpoint attribute)\n(langchain.llms.HuggingFaceHub attribute)\n(langchain.llms.HuggingFacePipeline attribute)\n(langchain.llms.Modal attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-63", "text": "(langchain.llms.HuggingFacePipeline attribute)\n(langchain.llms.Modal attribute)\n(langchain.llms.MosaicML attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\n(langchain.llms.SagemakerEndpoint attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.StochasticAI attribute)\nmodel_load_fn (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\nmodel_name (langchain.chains.OpenAIModerationChain attribute)\n(langchain.chat_models.ChatGooglePalm attribute)\n(langchain.chat_models.ChatOpenAI attribute)\n(langchain.chat_models.ChatVertexAI attribute)\n(langchain.embeddings.HuggingFaceEmbeddings attribute)\n(langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\n(langchain.tools.SteamshipImageGenerationTool attribute)\nmodel_path (langchain.llms.LlamaCpp attribute)\nmodel_reqs (langchain.embeddings.SelfHostedHuggingFaceEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-64", "text": "(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\nmodel_type (langchain.llms.CTransformers attribute)\nmodel_url (langchain.embeddings.TensorflowHubEmbeddings attribute)\nmodelname_to_contextsize() (langchain.llms.AzureOpenAI method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenLM method)\n(langchain.llms.PromptLayerOpenAI method)\nModernTreasuryLoader (class in langchain.document_loaders)\n module\n \nlangchain.agents\nlangchain.agents.agent_toolkits\nlangchain.chains\nlangchain.chat_models\nlangchain.docstore\nlangchain.document_loaders\nlangchain.document_transformers\nlangchain.embeddings\nlangchain.llms\nlangchain.memory\nlangchain.output_parsers\nlangchain.prompts\nlangchain.prompts.example_selector\nlangchain.python\nlangchain.retrievers\nlangchain.retrievers.document_compressors\nlangchain.serpapi\nlangchain.text_splitter\nlangchain.tools\nlangchain.utilities\nlangchain.utilities.searx_search\nlangchain.vectorstores\nMomentoChatMessageHistory (class in langchain.memory)\nMongoDBAtlasVectorSearch (class in langchain.vectorstores)\nMongoDBChatMessageHistory (class in langchain.memory)\nmoving_summary_buffer (langchain.memory.ConversationSummaryBufferMemory attribute)\nMWDumpLoader (class in langchain.document_loaders)\nMyScale (class in langchain.vectorstores)\nN\nn (langchain.chat_models.ChatGooglePalm attribute)\n(langchain.chat_models.ChatOpenAI attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.GooglePalm attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-65", "text": "(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Writer attribute)\nn_batch (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nn_ctx (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nn_gpu_layers (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.LlamaCpp attribute)\nn_parts (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nn_predict (langchain.llms.GPT4All attribute)\nn_threads (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nname (langchain.agents.agent_toolkits.VectorStoreInfo attribute)\n(langchain.experimental.GenerativeAgent attribute)\n(langchain.output_parsers.ResponseSchema attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.ClickTool attribute)\n(langchain.tools.CopyFileTool attribute)\n(langchain.tools.CurrentWebPageTool attribute)\n(langchain.tools.DeleteFileTool attribute)\n(langchain.tools.ExtractHyperlinksTool attribute)\n(langchain.tools.ExtractTextTool attribute)\n(langchain.tools.FileSearchTool attribute)\n(langchain.tools.GetElementsTool attribute)\n(langchain.tools.GmailCreateDraft attribute)\n(langchain.tools.GmailGetMessage attribute)\n(langchain.tools.GmailGetThread attribute)\n(langchain.tools.GmailSearch attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-66", "text": "(langchain.tools.GmailGetThread attribute)\n(langchain.tools.GmailSearch attribute)\n(langchain.tools.GmailSendMessage attribute)\n(langchain.tools.ListDirectoryTool attribute)\n(langchain.tools.MoveFileTool attribute)\n(langchain.tools.NavigateBackTool attribute)\n(langchain.tools.NavigateTool attribute)\n(langchain.tools.ReadFileTool attribute)\n(langchain.tools.ShellTool attribute)\n(langchain.tools.Tool attribute)\n(langchain.tools.WriteFileTool attribute)\nnla_tools (langchain.agents.agent_toolkits.NLAToolkit attribute)\nNLTKTextSplitter (class in langchain.text_splitter)\nno_update_value (langchain.output_parsers.RegexDictParser attribute)\nnormalize (langchain.embeddings.AlephAlphaAsymmetricSemanticEmbedding attribute)\nNotebookLoader (class in langchain.document_loaders)\nNotionDBLoader (class in langchain.document_loaders)\nNotionDirectoryLoader (class in langchain.document_loaders)\nnum_beams (langchain.llms.NLPCloud attribute)\nnum_pad_tokens (langchain.chains.FlareChain attribute)\nnum_results (langchain.tools.BingSearchResults attribute)\n(langchain.tools.DuckDuckGoSearchResults attribute)\n(langchain.tools.GoogleSearchResults attribute)\nnum_return_sequences (langchain.llms.NLPCloud attribute)\nnumResults (langchain.llms.AI21 attribute)\nO\nobject_ids (langchain.document_loaders.OneDriveLoader attribute)\nobservation_prefix (langchain.agents.Agent property)\n(langchain.agents.ConversationalAgent property)\n(langchain.agents.ConversationalChatAgent property)\n(langchain.agents.StructuredChatAgent property)\n(langchain.agents.ZeroShotAgent property)\nObsidianLoader (class in langchain.document_loaders)\nOnlinePDFLoader (class in langchain.document_loaders)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-67", "text": "OnlinePDFLoader (class in langchain.document_loaders)\nopenai_api_base (langchain.chat_models.AzureChatOpenAI attribute)\n(langchain.chat_models.ChatOpenAI attribute)\nopenai_api_key (langchain.chains.OpenAIModerationChain attribute)\n(langchain.chat_models.AzureChatOpenAI attribute)\n(langchain.chat_models.ChatOpenAI attribute)\nopenai_api_type (langchain.chat_models.AzureChatOpenAI attribute)\nopenai_api_version (langchain.chat_models.AzureChatOpenAI attribute)\nopenai_organization (langchain.chains.OpenAIModerationChain attribute)\n(langchain.chat_models.AzureChatOpenAI attribute)\n(langchain.chat_models.ChatOpenAI attribute)\nopenai_proxy (langchain.chat_models.AzureChatOpenAI attribute)\n(langchain.chat_models.ChatOpenAI attribute)\nOpenSearchVectorSearch (class in langchain.vectorstores)\nopenweathermap_api_key (langchain.utilities.OpenWeatherMapAPIWrapper attribute)\noperation_id (langchain.tools.APIOperation attribute)\nother_score_keys (langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\nOutlookMessageLoader (class in langchain.document_loaders)\noutput (langchain.llms.PredictionGuard attribute)\noutput_key (langchain.chains.QAGenerationChain attribute)\n(langchain.memory.ConversationStringBufferMemory attribute)\noutput_key_to_format (langchain.output_parsers.RegexDictParser attribute)\noutput_keys (langchain.chains.ConstitutionalChain property)\n(langchain.chains.FlareChain property)\n(langchain.chains.HypotheticalDocumentEmbedder property)\n(langchain.chains.QAGenerationChain property)\n(langchain.experimental.BabyAGI property)\n(langchain.output_parsers.RegexParser attribute)\noutput_parser (langchain.agents.Agent attribute)\n(langchain.agents.ConversationalAgent attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-68", "text": "(langchain.agents.ConversationalAgent attribute)\n(langchain.agents.ConversationalChatAgent attribute)\n(langchain.agents.LLMSingleActionAgent attribute)\n(langchain.agents.StructuredChatAgent attribute)\n(langchain.agents.ZeroShotAgent attribute)\n(langchain.chains.FlareChain attribute)\n(langchain.prompts.BasePromptTemplate attribute)\noutput_variables (langchain.chains.TransformChain attribute)\nowm (langchain.utilities.OpenWeatherMapAPIWrapper attribute)\nP\np (langchain.llms.Cohere attribute)\npage_content_key (langchain.retrievers.RemoteLangChainRetriever attribute)\nPagedPDFSplitter (in module langchain.document_loaders)\npaginate_request() (langchain.document_loaders.ConfluenceLoader method)\nparam_mapping (langchain.chains.OpenAPIEndpointChain attribute)\nparams (langchain.serpapi.SerpAPIWrapper attribute)\n(langchain.tools.ZapierNLARunAction attribute)\n(langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\n(langchain.utilities.SerpAPIWrapper attribute)\nparams_schema (langchain.tools.ZapierNLARunAction attribute)\nparse() (langchain.agents.AgentOutputParser method)\n(langchain.output_parsers.CommaSeparatedListOutputParser method)\n(langchain.output_parsers.DatetimeOutputParser method)\n(langchain.output_parsers.GuardrailsOutputParser method)\n(langchain.output_parsers.ListOutputParser method)\n(langchain.output_parsers.OutputFixingParser method)\n(langchain.output_parsers.PydanticOutputParser method)\n(langchain.output_parsers.RegexDictParser method)\n(langchain.output_parsers.RegexParser method)\n(langchain.output_parsers.RetryOutputParser method)\n(langchain.output_parsers.RetryWithErrorOutputParser method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-69", "text": "(langchain.output_parsers.RetryWithErrorOutputParser method)\n(langchain.output_parsers.StructuredOutputParser method)\nparse_filename() (langchain.document_loaders.BlackboardLoader method)\nparse_issue() (langchain.document_loaders.GitHubIssuesLoader method)\nparse_obj() (langchain.tools.OpenAPISpec class method)\nparse_sitemap() (langchain.document_loaders.SitemapLoader method)\nparse_with_prompt() (langchain.output_parsers.RetryOutputParser method)\n(langchain.output_parsers.RetryWithErrorOutputParser method)\nparser (langchain.output_parsers.OutputFixingParser attribute)\n(langchain.output_parsers.RetryOutputParser attribute)\n(langchain.output_parsers.RetryWithErrorOutputParser attribute)\npartial() (langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.ChatPromptTemplate method)\npassword (langchain.vectorstores.MyScaleSettings attribute)\npatch() (langchain.utilities.TextRequestsWrapper method)\npath (langchain.tools.APIOperation attribute)\npath_params (langchain.tools.APIOperation property)\npause_to_reflect() (langchain.experimental.GenerativeAgentMemory method)\nPDFMinerLoader (class in langchain.document_loaders)\nPDFMinerPDFasHTMLLoader (class in langchain.document_loaders)\nPDFPlumberLoader (class in langchain.document_loaders)\npenalty_alpha_frequency (langchain.llms.RWKV attribute)\npenalty_alpha_presence (langchain.llms.RWKV attribute)\npenalty_bias (langchain.llms.AlephAlpha attribute)\npenalty_exceptions (langchain.llms.AlephAlpha attribute)\npenalty_exceptions_include_stop_sequences (langchain.llms.AlephAlpha attribute)\npersist() (langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.SKLearnVectorStore method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-70", "text": "(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.SKLearnVectorStore method)\nPHP (langchain.text_splitter.Language attribute)\nPinecone (class in langchain.vectorstores)\npipeline_key (langchain.llms.PipelineAI attribute)\npipeline_kwargs (langchain.llms.HuggingFacePipeline attribute)\n(langchain.llms.PipelineAI attribute)\npl_tags (langchain.chat_models.PromptLayerChatOpenAI attribute)\nplan() (langchain.agents.Agent method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\n(langchain.agents.LLMSingleActionAgent method)\nplaywright_strict (langchain.tools.ClickTool attribute)\nplaywright_timeout (langchain.tools.ClickTool attribute)\nPlaywrightURLLoader (class in langchain.document_loaders)\nplugin (langchain.tools.AIPluginTool attribute)\nport (langchain.vectorstores.MyScaleSettings attribute)\npost() (langchain.utilities.TextRequestsWrapper method)\nPostgresChatMessageHistory (class in langchain.memory)\npowerbi (langchain.agents.agent_toolkits.PowerBIToolkit attribute)\n(langchain.tools.InfoPowerBITool attribute)\n(langchain.tools.ListPowerBITool attribute)\n(langchain.tools.QueryPowerBITool attribute)\npredict() (langchain.chains.LLMChain method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-71", "text": "(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\npredict_and_parse() (langchain.chains.LLMChain method)\npredict_messages() (langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-72", "text": "(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-73", "text": "(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\nprefix (langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\nprefix_messages (langchain.llms.OpenAIChat attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\nprep_prompts() (langchain.chains.LLMChain method)\nprep_streaming_params() (langchain.llms.AzureOpenAI method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenLM method)\n(langchain.llms.PromptLayerOpenAI method)\nprepare_cosmos() (langchain.memory.CosmosDBChatMessageHistory method)\npresence_penalty (langchain.llms.AlephAlpha attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Writer attribute)\npresencePenalty (langchain.llms.AI21 attribute)\nprioritize_tasks() (langchain.experimental.BabyAGI method)\nprocess (langchain.tools.ShellTool attribute)\nprocess_attachment() (langchain.document_loaders.ConfluenceLoader method)\nprocess_doc() (langchain.document_loaders.ConfluenceLoader method)\nprocess_image() (langchain.document_loaders.ConfluenceLoader method)\nprocess_index_results() (langchain.vectorstores.Annoy method)\nprocess_output() (langchain.utilities.BashProcess method)\nprocess_page() (langchain.document_loaders.ConfluenceLoader method)\nprocess_pages() (langchain.document_loaders.ConfluenceLoader method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-74", "text": "process_pages() (langchain.document_loaders.ConfluenceLoader method)\nprocess_pdf() (langchain.document_loaders.ConfluenceLoader method)\nprocess_svg() (langchain.document_loaders.ConfluenceLoader method)\nprocess_xls() (langchain.document_loaders.ConfluenceLoader method)\nproject (langchain.llms.VertexAI attribute)\nPrompt (in module langchain.prompts)\nprompt (langchain.chains.ConversationChain attribute)\n(langchain.chains.LLMBashChain attribute)\n(langchain.chains.LLMChain attribute)\n(langchain.chains.LLMMathChain attribute)\n(langchain.chains.PALChain attribute)\n(langchain.chains.SQLDatabaseChain attribute)\nprompt_func (langchain.tools.HumanInputRun attribute)\nproperties (langchain.tools.APIOperation attribute)\nPROTO (langchain.text_splitter.Language attribute)\nprune() (langchain.memory.ConversationSummaryBufferMemory method)\nPsychicLoader (class in langchain.document_loaders)\nput() (langchain.utilities.TextRequestsWrapper method)\npydantic_object (langchain.output_parsers.PydanticOutputParser attribute)\nPyMuPDFLoader (class in langchain.document_loaders)\nPyPDFDirectoryLoader (class in langchain.document_loaders)\nPyPDFium2Loader (class in langchain.document_loaders)\nPyPDFLoader (class in langchain.document_loaders)\nPySparkDataFrameLoader (class in langchain.document_loaders)\nPYTHON (langchain.text_splitter.Language attribute)\npython_globals (langchain.chains.PALChain attribute)\npython_locals (langchain.chains.PALChain attribute)\nPythonCodeTextSplitter (class in langchain.text_splitter)\nPythonLoader (class in langchain.document_loaders)\nQ\nqa_chain (langchain.chains.GraphCypherQAChain attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-75", "text": "Q\nqa_chain (langchain.chains.GraphCypherQAChain attribute)\n(langchain.chains.GraphQAChain attribute)\nQdrant (class in langchain.vectorstores)\nquery_checker_prompt (langchain.chains.SQLDatabaseChain attribute)\nquery_instruction (langchain.embeddings.HuggingFaceInstructEmbeddings attribute)\n(langchain.embeddings.MosaicMLInstructorEmbeddings attribute)\n(langchain.embeddings.SelfHostedHuggingFaceInstructEmbeddings attribute)\nquery_name (langchain.vectorstores.SupabaseVectorStore attribute)\nquery_params (langchain.document_loaders.GitHubIssuesLoader property)\n(langchain.tools.APIOperation property)\nquery_suffix (langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nquestion_generator_chain (langchain.chains.FlareChain attribute)\nquestion_to_checked_assertions_chain (langchain.chains.LLMCheckerChain attribute)\nR\nraw_completion (langchain.llms.AlephAlpha attribute)\nREACT_DOCSTORE (langchain.agents.AgentType attribute)\nReadTheDocsLoader (class in langchain.document_loaders)\nrecall_ttl (langchain.memory.RedisEntityStore attribute)\nrecursive (langchain.document_loaders.GoogleDriveLoader attribute)\nRecursiveCharacterTextSplitter (class in langchain.text_splitter)\nRedditPostsLoader (class in langchain.document_loaders)\nRedis (class in langchain.vectorstores)\nredis_client (langchain.memory.RedisEntityStore attribute)\nRedisChatMessageHistory (class in langchain.memory)\nRedisEntityStore (class in langchain.memory)\nreduce_k_below_max_tokens (langchain.chains.RetrievalQAWithSourcesChain attribute)\n(langchain.chains.VectorDBQAWithSourcesChain attribute)\nreflection_threshold (langchain.experimental.GenerativeAgentMemory attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-76", "text": "reflection_threshold (langchain.experimental.GenerativeAgentMemory attribute)\nregex (langchain.output_parsers.RegexParser attribute)\nregex_pattern (langchain.output_parsers.RegexDictParser attribute)\nregion (langchain.utilities.DuckDuckGoSearchAPIWrapper attribute)\nregion_name (langchain.embeddings.SagemakerEndpointEmbeddings attribute)\n(langchain.llms.SagemakerEndpoint attribute)\nrelevancy_threshold (langchain.retrievers.KNNRetriever attribute)\n(langchain.retrievers.SVMRetriever attribute)\nremove_end_sequence (langchain.llms.NLPCloud attribute)\nremove_input (langchain.llms.NLPCloud attribute)\nrepeat_last_n (langchain.llms.GPT4All attribute)\nrepeat_penalty (langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nrepetition_penalties_include_completion (langchain.llms.AlephAlpha attribute)\nrepetition_penalties_include_prompt (langchain.llms.AlephAlpha attribute)\nrepetition_penalty (langchain.llms.ForefrontAI attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.Writer attribute)\nrepo_id (langchain.embeddings.HuggingFaceHubEmbeddings attribute)\n(langchain.llms.HuggingFaceHub attribute)\nrequest_body (langchain.tools.APIOperation attribute)\nrequest_timeout (langchain.chat_models.ChatOpenAI attribute)\n(langchain.embeddings.OpenAIEmbeddings attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\nrequest_url (langchain.utilities.PowerBIDataset property)\nrequests (langchain.chains.OpenAPIEndpointChain attribute)\n(langchain.utilities.TextRequestsWrapper property)\nrequests_per_second (langchain.document_loaders.WebBaseLoader attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-77", "text": "requests_per_second (langchain.document_loaders.WebBaseLoader attribute)\nrequests_wrapper (langchain.agents.agent_toolkits.OpenAPIToolkit attribute)\n(langchain.chains.APIChain attribute)\n(langchain.chains.LLMRequestsChain attribute)\nresponse_chain (langchain.chains.FlareChain attribute)\nresponse_key (langchain.retrievers.RemoteLangChainRetriever attribute)\nresponse_schemas (langchain.output_parsers.StructuredOutputParser attribute)\nresults() (langchain.serpapi.SerpAPIWrapper method)\n(langchain.utilities.BingSearchAPIWrapper method)\n(langchain.utilities.DuckDuckGoSearchAPIWrapper method)\n(langchain.utilities.GoogleSearchAPIWrapper method)\n(langchain.utilities.GoogleSerperAPIWrapper method)\n(langchain.utilities.MetaphorSearchAPIWrapper method)\n(langchain.utilities.searx_search.SearxSearchWrapper method)\n(langchain.utilities.SearxSearchWrapper method)\n(langchain.utilities.SerpAPIWrapper method)\nresults_async() (langchain.utilities.MetaphorSearchAPIWrapper method)\nretriever (langchain.chains.ConversationalRetrievalChain attribute)\n(langchain.chains.FlareChain attribute)\n(langchain.chains.RetrievalQA attribute)\n(langchain.chains.RetrievalQAWithSourcesChain attribute)\n(langchain.memory.VectorStoreRetrieverMemory attribute)\nretry_chain (langchain.output_parsers.OutputFixingParser attribute)\n(langchain.output_parsers.RetryOutputParser attribute)\n(langchain.output_parsers.RetryWithErrorOutputParser attribute)\nretry_sleep (langchain.embeddings.MosaicMLInstructorEmbeddings attribute)\n(langchain.llms.MosaicML attribute)\nreturn_all (langchain.chains.SequentialChain attribute)\nreturn_direct (langchain.chains.SQLDatabaseChain attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-78", "text": "(langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)\nreturn_docs (langchain.memory.VectorStoreRetrieverMemory attribute)\nreturn_intermediate_steps (langchain.agents.AgentExecutor attribute)\n(langchain.chains.ConstitutionalChain attribute)\n(langchain.chains.OpenAPIEndpointChain attribute)\n(langchain.chains.PALChain attribute)\n(langchain.chains.SQLDatabaseChain attribute)\n(langchain.chains.SQLDatabaseSequentialChain attribute)\nreturn_pl_id (langchain.chat_models.PromptLayerChatOpenAI attribute)\nreturn_stopped_response() (langchain.agents.Agent method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\nreturn_urls (langchain.tools.SteamshipImageGenerationTool attribute)\nreturn_values (langchain.agents.Agent property)\n(langchain.agents.BaseMultiActionAgent property)\n(langchain.agents.BaseSingleActionAgent property)\nrevised_answer_prompt (langchain.chains.LLMCheckerChain attribute)\nrevised_summary_prompt (langchain.chains.LLMSummarizationCheckerChain attribute)\nrevision_chain (langchain.chains.ConstitutionalChain attribute)\nRoamLoader (class in langchain.document_loaders)\nroot_dir (langchain.agents.agent_toolkits.FileManagementToolkit attribute)\nRST (langchain.text_splitter.Language attribute)\nRUBY (langchain.text_splitter.Language attribute)\nrun() (langchain.python.PythonREPL method)\n(langchain.serpapi.SerpAPIWrapper method)\n(langchain.tools.BaseTool method)\n(langchain.utilities.ArxivAPIWrapper method)\n(langchain.utilities.BashProcess method)\n(langchain.utilities.BingSearchAPIWrapper method)\n(langchain.utilities.DuckDuckGoSearchAPIWrapper method)\n(langchain.utilities.GooglePlacesAPIWrapper method)\n(langchain.utilities.GoogleSearchAPIWrapper method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-79", "text": "(langchain.utilities.GooglePlacesAPIWrapper method)\n(langchain.utilities.GoogleSearchAPIWrapper method)\n(langchain.utilities.GoogleSerperAPIWrapper method)\n(langchain.utilities.GraphQLAPIWrapper method)\n(langchain.utilities.LambdaWrapper method)\n(langchain.utilities.OpenWeatherMapAPIWrapper method)\n(langchain.utilities.PowerBIDataset method)\n(langchain.utilities.PythonREPL method)\n(langchain.utilities.searx_search.SearxSearchWrapper method)\n(langchain.utilities.SearxSearchWrapper method)\n(langchain.utilities.SerpAPIWrapper method)\n(langchain.utilities.SparkSQL method)\n(langchain.utilities.TwilioAPIWrapper method)\n(langchain.utilities.WikipediaAPIWrapper method)\n(langchain.utilities.WolframAlphaAPIWrapper method)\nrun_creation() (langchain.llms.Beam method)\nrun_no_throw() (langchain.utilities.SparkSQL method)\nRUST (langchain.text_splitter.Language attribute)\nrwkv_verbose (langchain.llms.RWKV attribute)\nS\nS3DirectoryLoader (class in langchain.document_loaders)\nS3FileLoader (class in langchain.document_loaders)\nsafesearch (langchain.utilities.DuckDuckGoSearchAPIWrapper attribute)\nsample_rows_in_table_info (langchain.utilities.PowerBIDataset attribute)\nsave() (langchain.agents.AgentExecutor method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\n(langchain.llms.AI21 method)\n(langchain.llms.AlephAlpha method)\n(langchain.llms.Anthropic method)\n(langchain.llms.Anyscale method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.Banana method)\n(langchain.llms.Beam method)\n(langchain.llms.CerebriumAI method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-80", "text": "(langchain.llms.CerebriumAI method)\n(langchain.llms.Cohere method)\n(langchain.llms.CTransformers method)\n(langchain.llms.Databricks method)\n(langchain.llms.DeepInfra method)\n(langchain.llms.FakeListLLM method)\n(langchain.llms.ForefrontAI method)\n(langchain.llms.GooglePalm method)\n(langchain.llms.GooseAI method)\n(langchain.llms.GPT4All method)\n(langchain.llms.HuggingFaceEndpoint method)\n(langchain.llms.HuggingFaceHub method)\n(langchain.llms.HuggingFacePipeline method)\n(langchain.llms.HuggingFaceTextGenInference method)\n(langchain.llms.HumanInputLLM method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.Modal method)\n(langchain.llms.MosaicML method)\n(langchain.llms.NLPCloud method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenAIChat method)\n(langchain.llms.OpenLM method)\n(langchain.llms.Petals method)\n(langchain.llms.PipelineAI method)\n(langchain.llms.PredictionGuard method)\n(langchain.llms.PromptLayerOpenAI method)\n(langchain.llms.PromptLayerOpenAIChat method)\n(langchain.llms.Replicate method)\n(langchain.llms.RWKV method)\n(langchain.llms.SagemakerEndpoint method)\n(langchain.llms.SelfHostedHuggingFaceLLM method)\n(langchain.llms.SelfHostedPipeline method)\n(langchain.llms.StochasticAI method)\n(langchain.llms.VertexAI method)\n(langchain.llms.Writer method)\n(langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.ChatPromptTemplate method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-81", "text": "(langchain.prompts.BasePromptTemplate method)\n(langchain.prompts.ChatPromptTemplate method)\nsave_agent() (langchain.agents.AgentExecutor method)\nsave_context() (langchain.experimental.GenerativeAgentMemory method)\n(langchain.memory.CombinedMemory method)\n(langchain.memory.ConversationEntityMemory method)\n(langchain.memory.ConversationKGMemory method)\n(langchain.memory.ConversationStringBufferMemory method)\n(langchain.memory.ConversationSummaryBufferMemory method)\n(langchain.memory.ConversationSummaryMemory method)\n(langchain.memory.ConversationTokenBufferMemory method)\n(langchain.memory.ReadOnlySharedMemory method)\n(langchain.memory.SimpleMemory method)\n(langchain.memory.VectorStoreRetrieverMemory method)\nsave_local() (langchain.vectorstores.Annoy method)\n(langchain.vectorstores.FAISS method)\nSCALA (langchain.text_splitter.Language attribute)\nschemas (langchain.utilities.PowerBIDataset attribute)\nscrape() (langchain.document_loaders.WebBaseLoader method)\nscrape_all() (langchain.document_loaders.WebBaseLoader method)\nscrape_page() (langchain.tools.ExtractHyperlinksTool static method)\nsearch() (langchain.docstore.InMemoryDocstore method)\n(langchain.docstore.Wikipedia method)\n(langchain.vectorstores.VectorStore method)\nsearch_kwargs (langchain.chains.ChatVectorDBChain attribute)\n(langchain.chains.VectorDBQA attribute)\n(langchain.chains.VectorDBQAWithSourcesChain attribute)\n(langchain.retrievers.SelfQueryRetriever attribute)\n(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\nsearch_type (langchain.chains.VectorDBQA attribute)\n(langchain.retrievers.SelfQueryRetriever attribute)\nsearx_host (langchain.utilities.searx_search.SearxSearchWrapper attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-82", "text": "searx_host (langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nSearxResults (class in langchain.utilities.searx_search)\nseed (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nselect_examples() (langchain.prompts.example_selector.LengthBasedExampleSelector method)\n(langchain.prompts.example_selector.MaxMarginalRelevanceExampleSelector method)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector method)\nselected_tools (langchain.agents.agent_toolkits.FileManagementToolkit attribute)\nSeleniumURLLoader (class in langchain.document_loaders)\nSELF_ASK_WITH_SEARCH (langchain.agents.AgentType attribute)\nsend_pdf() (langchain.document_loaders.MathpixPDFLoader method)\nSentenceTransformerEmbeddings (in module langchain.embeddings)\nsequential_chain (langchain.chains.LLMSummarizationCheckerChain attribute)\nserpapi_api_key (langchain.serpapi.SerpAPIWrapper attribute)\n(langchain.utilities.SerpAPIWrapper attribute)\nserper_api_key (langchain.utilities.GoogleSerperAPIWrapper attribute)\nservice_account_key (langchain.document_loaders.GoogleDriveLoader attribute)\nservice_account_path (langchain.document_loaders.GoogleApiClient attribute)\nservice_name (langchain.retrievers.AzureCognitiveSearchRetriever attribute)\nsession_cache (langchain.tools.QueryPowerBITool attribute)\nsession_id (langchain.memory.RedisEntityStore attribute)\n(langchain.memory.SQLiteEntityStore attribute)\nset() (langchain.memory.InMemoryEntityStore method)\n(langchain.memory.RedisEntityStore method)\n(langchain.memory.SQLiteEntityStore method)\nsettings (langchain.document_loaders.OneDriveLoader attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-83", "text": "settings (langchain.document_loaders.OneDriveLoader attribute)\nsimilarity_fn (langchain.document_transformers.EmbeddingsRedundantFilter attribute)\n(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)\nsimilarity_search() (langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Annoy method)\n(langchain.vectorstores.AtlasDB method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.ElasticVectorSearch method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.LanceDB method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.MongoDBAtlasVectorSearch method)\n(langchain.vectorstores.MyScale method)\n(langchain.vectorstores.OpenSearchVectorSearch method)\n(langchain.vectorstores.Pinecone method)\n(langchain.vectorstores.Qdrant method)\n(langchain.vectorstores.Redis method)\n(langchain.vectorstores.SKLearnVectorStore method)\n(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.Tair method)\n(langchain.vectorstores.Typesense method)\n(langchain.vectorstores.Vectara method)\n(langchain.vectorstores.VectorStore method)\n(langchain.vectorstores.Weaviate method)\nsimilarity_search_by_index() (langchain.vectorstores.Annoy method)\nsimilarity_search_by_text() (langchain.vectorstores.Weaviate method)\nsimilarity_search_by_vector() (langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Annoy method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.MyScale method)\n(langchain.vectorstores.SupabaseVectorStore method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-84", "text": "(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.VectorStore method)\n(langchain.vectorstores.Weaviate method)\nsimilarity_search_by_vector_returning_embeddings() (langchain.vectorstores.SupabaseVectorStore method)\nsimilarity_search_by_vector_with_relevance_scores() (langchain.vectorstores.SupabaseVectorStore method)\nsimilarity_search_limit_score() (langchain.vectorstores.Redis method)\nsimilarity_search_with_relevance_scores() (langchain.vectorstores.MyScale method)\n(langchain.vectorstores.SupabaseVectorStore method)\n(langchain.vectorstores.VectorStore method)\nsimilarity_search_with_score() (langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Annoy method)\n(langchain.vectorstores.Chroma method)\n(langchain.vectorstores.DeepLake method)\n(langchain.vectorstores.ElasticVectorSearch method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.Milvus method)\n(langchain.vectorstores.MongoDBAtlasVectorSearch method)\n(langchain.vectorstores.OpenSearchVectorSearch method)\n(langchain.vectorstores.Pinecone method)\n(langchain.vectorstores.Qdrant method)\n(langchain.vectorstores.Redis method)\n(langchain.vectorstores.SKLearnVectorStore method)\n(langchain.vectorstores.Typesense method)\n(langchain.vectorstores.Vectara method)\n(langchain.vectorstores.Weaviate method)\nsimilarity_search_with_score_by_index() (langchain.vectorstores.Annoy method)\nsimilarity_search_with_score_by_vector() (langchain.vectorstores.AnalyticDB method)\n(langchain.vectorstores.Annoy method)\n(langchain.vectorstores.FAISS method)\n(langchain.vectorstores.Milvus method)\nsimilarity_threshold (langchain.document_transformers.EmbeddingsRedundantFilter attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-85", "text": "similarity_threshold (langchain.document_transformers.EmbeddingsRedundantFilter attribute)\n(langchain.retrievers.document_compressors.EmbeddingsFilter attribute)\nsince (langchain.document_loaders.GitHubIssuesLoader attribute)\nSitemapLoader (class in langchain.document_loaders)\nsiterestrict (langchain.utilities.GoogleSearchAPIWrapper attribute)\nsize (langchain.tools.SteamshipImageGenerationTool attribute)\nSKLearnVectorStore (class in langchain.vectorstores)\nSlackDirectoryLoader (class in langchain.document_loaders)\nsort (langchain.document_loaders.GitHubIssuesLoader attribute)\nSpacyTextSplitter (class in langchain.text_splitter)\nSparkSQL (class in langchain.utilities)\nsparse_encoder (langchain.retrievers.PineconeHybridSearchRetriever attribute)\nspec (langchain.agents.agent_toolkits.JsonToolkit attribute)\nsplit_documents() (langchain.text_splitter.TextSplitter method)\nsplit_text() (langchain.text_splitter.CharacterTextSplitter method)\n(langchain.text_splitter.NLTKTextSplitter method)\n(langchain.text_splitter.RecursiveCharacterTextSplitter method)\n(langchain.text_splitter.SpacyTextSplitter method)\n(langchain.text_splitter.TextSplitter method)\n(langchain.text_splitter.TokenTextSplitter method)\nSpreedlyLoader (class in langchain.document_loaders)\nsql_chain (langchain.chains.SQLDatabaseSequentialChain attribute)\nSQLiteEntityStore (class in langchain.memory)\nSRTLoader (class in langchain.document_loaders)\nstart_with_retrieval (langchain.chains.FlareChain attribute)\nstate (langchain.document_loaders.GitHubIssuesLoader attribute)\nstatus (langchain.experimental.GenerativeAgent attribute)\nsteamship (langchain.tools.SteamshipImageGenerationTool attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-86", "text": "steamship (langchain.tools.SteamshipImageGenerationTool attribute)\nstop (langchain.agents.LLMSingleActionAgent attribute)\n(langchain.chains.PALChain attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.Writer attribute)\nstop_sequences (langchain.llms.AlephAlpha attribute)\nstore (langchain.memory.InMemoryEntityStore attribute)\nstrategy (langchain.llms.RWKV attribute)\nstream() (langchain.llms.Anthropic method)\n(langchain.llms.AzureOpenAI method)\n(langchain.llms.LlamaCpp method)\n(langchain.llms.OpenAI method)\n(langchain.llms.OpenLM method)\n(langchain.llms.PromptLayerOpenAI method)\nstreaming (langchain.chat_models.ChatOpenAI attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.PromptLayerOpenAIChat attribute)\nstrip_outputs (langchain.chains.SimpleSequentialChain attribute)\nStripeLoader (class in langchain.document_loaders)\nSTRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION (langchain.agents.AgentType attribute)\nstructured_query_translator (langchain.retrievers.SelfQueryRetriever attribute)\nsuffix (langchain.llms.LlamaCpp attribute)\n(langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\nsummarize_related_memories() (langchain.experimental.GenerativeAgent method)\nsummary (langchain.experimental.GenerativeAgent attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-87", "text": "summary (langchain.experimental.GenerativeAgent attribute)\nsummary_message_cls (langchain.memory.ConversationKGMemory attribute)\nsummary_refresh_seconds (langchain.experimental.GenerativeAgent attribute)\nSupabaseVectorStore (class in langchain.vectorstores)\nSWIFT (langchain.text_splitter.Language attribute)\nsync_browser (langchain.agents.agent_toolkits.PlayWrightBrowserToolkit attribute)\nT\ntable (langchain.vectorstores.MyScaleSettings attribute)\ntable_info (langchain.utilities.PowerBIDataset property)\ntable_name (langchain.memory.SQLiteEntityStore attribute)\n(langchain.vectorstores.SupabaseVectorStore attribute)\ntable_names (langchain.utilities.PowerBIDataset attribute)\nTair (class in langchain.vectorstores)\ntask (langchain.embeddings.HuggingFaceHubEmbeddings attribute)\n(langchain.llms.HuggingFaceEndpoint attribute)\n(langchain.llms.HuggingFaceHub attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\ntbs (langchain.utilities.GoogleSerperAPIWrapper attribute)\nTelegramChatApiLoader (class in langchain.document_loaders)\nTelegramChatFileLoader (class in langchain.document_loaders)\nTelegramChatLoader (in module langchain.document_loaders)\ntemp (langchain.llms.GPT4All attribute)\ntemperature (langchain.chat_models.ChatGooglePalm attribute)\n(langchain.chat_models.ChatOpenAI attribute)\n(langchain.llms.AI21 attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.LlamaCpp attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-88", "text": "(langchain.llms.GooseAI attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.PredictionGuard attribute)\n(langchain.llms.RWKV attribute)\n(langchain.llms.VertexAI attribute)\n(langchain.llms.Writer attribute)\ntemplate (langchain.prompts.PromptTemplate attribute)\n(langchain.tools.QueryPowerBITool attribute)\ntemplate_format (langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\n(langchain.prompts.PromptTemplate attribute)\ntemplate_tool_response (langchain.agents.ConversationalChatAgent attribute)\ntext_length (langchain.chains.LLMRequestsChain attribute)\ntext_splitter (langchain.chains.AnalyzeDocumentChain attribute)\n(langchain.chains.MapReduceChain attribute)\n(langchain.chains.QAGenerationChain attribute)\nTextLoader (class in langchain.document_loaders)\ntexts (langchain.retrievers.KNNRetriever attribute)\n(langchain.retrievers.SVMRetriever attribute)\nTextSplitter (class in langchain.text_splitter)\ntfidf_array (langchain.retrievers.TFIDFRetriever attribute)\ntime (langchain.utilities.DuckDuckGoSearchAPIWrapper attribute)\nto_typescript() (langchain.tools.APIOperation method)\ntoken (langchain.llms.PredictionGuard attribute)\n(langchain.utilities.PowerBIDataset attribute)\ntoken_path (langchain.document_loaders.GoogleApiClient attribute)\n(langchain.document_loaders.GoogleDriveLoader attribute)\ntokenizer (langchain.llms.Petals attribute)\ntokens (langchain.llms.AlephAlpha attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-89", "text": "tokens (langchain.llms.AlephAlpha attribute)\ntokens_path (langchain.llms.RWKV attribute)\nTokenTextSplitter (class in langchain.text_splitter)\nToMarkdownLoader (class in langchain.document_loaders)\nTomlLoader (class in langchain.document_loaders)\ntool() (in module langchain.agents)\n(in module langchain.tools)\ntool_run_logging_kwargs() (langchain.agents.Agent method)\n(langchain.agents.BaseMultiActionAgent method)\n(langchain.agents.BaseSingleActionAgent method)\n(langchain.agents.LLMSingleActionAgent method)\ntools (langchain.agents.agent_toolkits.JiraToolkit attribute)\n(langchain.agents.agent_toolkits.ZapierToolkit attribute)\n(langchain.agents.AgentExecutor attribute)\ntop_k (langchain.chains.SQLDatabaseChain attribute)\n(langchain.chat_models.ChatGooglePalm attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.VertexAI attribute)\n(langchain.retrievers.ChatGPTPluginRetriever attribute)\n(langchain.retrievers.DataberryRetriever attribute)\n(langchain.retrievers.PineconeHybridSearchRetriever attribute)\ntop_k_docs_for_context (langchain.chains.ChatVectorDBChain attribute)\ntop_k_results (langchain.utilities.ArxivAPIWrapper attribute)\n(langchain.utilities.GooglePlacesAPIWrapper attribute)\n(langchain.utilities.WikipediaAPIWrapper attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-90", "text": "(langchain.utilities.GooglePlacesAPIWrapper attribute)\n(langchain.utilities.WikipediaAPIWrapper attribute)\ntop_n (langchain.retrievers.document_compressors.CohereRerank attribute)\ntop_p (langchain.chat_models.ChatGooglePalm attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.RWKV attribute)\n(langchain.llms.VertexAI attribute)\n(langchain.llms.Writer attribute)\ntopP (langchain.llms.AI21 attribute)\ntraits (langchain.experimental.GenerativeAgent attribute)\ntransform (langchain.chains.TransformChain attribute)\ntransform_documents() (langchain.document_transformers.EmbeddingsRedundantFilter method)\n(langchain.text_splitter.TextSplitter method)\ntransform_input_fn (langchain.llms.Databricks attribute)\ntransform_output_fn (langchain.llms.Databricks attribute)\ntransformers (langchain.retrievers.document_compressors.DocumentCompressorPipeline attribute)\nTrelloLoader (class in langchain.document_loaders)\ntruncate (langchain.embeddings.CohereEmbeddings attribute)\n(langchain.llms.Cohere attribute)\nts_type_from_python() (langchain.tools.APIOperation static method)\nttl (langchain.memory.RedisEntityStore attribute)\ntuned_model_name (langchain.llms.VertexAI attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-91", "text": "tuned_model_name (langchain.llms.VertexAI attribute)\nTwitterTweetLoader (class in langchain.document_loaders)\ntype (langchain.utilities.GoogleSerperAPIWrapper attribute)\nTypesense (class in langchain.vectorstores)\nU\nunsecure (langchain.utilities.searx_search.SearxSearchWrapper attribute)\n(langchain.utilities.SearxSearchWrapper attribute)\nUnstructuredAPIFileIOLoader (class in langchain.document_loaders)\nUnstructuredAPIFileLoader (class in langchain.document_loaders)\nUnstructuredEmailLoader (class in langchain.document_loaders)\nUnstructuredEPubLoader (class in langchain.document_loaders)\nUnstructuredFileIOLoader (class in langchain.document_loaders)\nUnstructuredFileLoader (class in langchain.document_loaders)\nUnstructuredHTMLLoader (class in langchain.document_loaders)\nUnstructuredImageLoader (class in langchain.document_loaders)\nUnstructuredMarkdownLoader (class in langchain.document_loaders)\nUnstructuredODTLoader (class in langchain.document_loaders)\nUnstructuredPDFLoader (class in langchain.document_loaders)\nUnstructuredPowerPointLoader (class in langchain.document_loaders)\nUnstructuredRTFLoader (class in langchain.document_loaders)\nUnstructuredURLLoader (class in langchain.document_loaders)\nUnstructuredWordDocumentLoader (class in langchain.document_loaders)\nupdate_document() (langchain.vectorstores.Chroma method)\nupdate_forward_refs() (langchain.llms.AI21 class method)\n(langchain.llms.AlephAlpha class method)\n(langchain.llms.Anthropic class method)\n(langchain.llms.Anyscale class method)\n(langchain.llms.AzureOpenAI class method)\n(langchain.llms.Banana class method)\n(langchain.llms.Beam class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-92", "text": "(langchain.llms.Beam class method)\n(langchain.llms.CerebriumAI class method)\n(langchain.llms.Cohere class method)\n(langchain.llms.CTransformers class method)\n(langchain.llms.Databricks class method)\n(langchain.llms.DeepInfra class method)\n(langchain.llms.FakeListLLM class method)\n(langchain.llms.ForefrontAI class method)\n(langchain.llms.GooglePalm class method)\n(langchain.llms.GooseAI class method)\n(langchain.llms.GPT4All class method)\n(langchain.llms.HuggingFaceEndpoint class method)\n(langchain.llms.HuggingFaceHub class method)\n(langchain.llms.HuggingFacePipeline class method)\n(langchain.llms.HuggingFaceTextGenInference class method)\n(langchain.llms.HumanInputLLM class method)\n(langchain.llms.LlamaCpp class method)\n(langchain.llms.Modal class method)\n(langchain.llms.MosaicML class method)\n(langchain.llms.NLPCloud class method)\n(langchain.llms.OpenAI class method)\n(langchain.llms.OpenAIChat class method)\n(langchain.llms.OpenLM class method)\n(langchain.llms.Petals class method)\n(langchain.llms.PipelineAI class method)\n(langchain.llms.PredictionGuard class method)\n(langchain.llms.PromptLayerOpenAI class method)\n(langchain.llms.PromptLayerOpenAIChat class method)\n(langchain.llms.Replicate class method)\n(langchain.llms.RWKV class method)\n(langchain.llms.SagemakerEndpoint class method)\n(langchain.llms.SelfHostedHuggingFaceLLM class method)\n(langchain.llms.SelfHostedPipeline class method)\n(langchain.llms.StochasticAI class method)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-93", "text": "(langchain.llms.StochasticAI class method)\n(langchain.llms.VertexAI class method)\n(langchain.llms.Writer class method)\nupsert_messages() (langchain.memory.CosmosDBChatMessageHistory method)\nurl (langchain.document_loaders.GitHubIssuesLoader property)\n(langchain.document_loaders.MathpixPDFLoader property)\n(langchain.llms.Beam attribute)\n(langchain.retrievers.ChatGPTPluginRetriever attribute)\n(langchain.retrievers.RemoteLangChainRetriever attribute)\n(langchain.tools.IFTTTWebhook attribute)\nurls (langchain.document_loaders.PlaywrightURLLoader attribute)\n(langchain.document_loaders.SeleniumURLLoader attribute)\nuse_mlock (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nuse_mmap (langchain.llms.LlamaCpp attribute)\nuse_multiplicative_presence_penalty (langchain.llms.AlephAlpha attribute)\nuse_query_checker (langchain.chains.SQLDatabaseChain attribute)\nusername (langchain.vectorstores.MyScaleSettings attribute)\nV\nvalidate_channel_or_videoIds_is_set() (langchain.document_loaders.GoogleApiClient class method)\n(langchain.document_loaders.GoogleApiYoutubeLoader class method)\nvalidate_init_args() (langchain.document_loaders.ConfluenceLoader static method)\nvalidate_template (langchain.prompts.FewShotPromptTemplate attribute)\n(langchain.prompts.FewShotPromptWithTemplates attribute)\n(langchain.prompts.PromptTemplate attribute)\nVectara (class in langchain.vectorstores)\nvectorizer (langchain.retrievers.TFIDFRetriever attribute)\nVectorStore (class in langchain.vectorstores)\nvectorstore (langchain.agents.agent_toolkits.VectorStoreInfo attribute)\n(langchain.chains.ChatVectorDBChain attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-94", "text": "(langchain.chains.ChatVectorDBChain attribute)\n(langchain.chains.VectorDBQA attribute)\n(langchain.chains.VectorDBQAWithSourcesChain attribute)\n(langchain.prompts.example_selector.SemanticSimilarityExampleSelector attribute)\n(langchain.retrievers.SelfQueryRetriever attribute)\n(langchain.retrievers.TimeWeightedVectorStoreRetriever attribute)\nvectorstore_info (langchain.agents.agent_toolkits.VectorStoreToolkit attribute)\nvectorstores (langchain.agents.agent_toolkits.VectorStoreRouterToolkit attribute)\nverbose (langchain.llms.AI21 attribute)\n(langchain.llms.AlephAlpha attribute)\n(langchain.llms.Anthropic attribute)\n(langchain.llms.Anyscale attribute)\n(langchain.llms.AzureOpenAI attribute)\n(langchain.llms.Banana attribute)\n(langchain.llms.Beam attribute)\n(langchain.llms.CerebriumAI attribute)\n(langchain.llms.Cohere attribute)\n(langchain.llms.CTransformers attribute)\n(langchain.llms.Databricks attribute)\n(langchain.llms.DeepInfra attribute)\n(langchain.llms.FakeListLLM attribute)\n(langchain.llms.ForefrontAI attribute)\n(langchain.llms.GooglePalm attribute)\n(langchain.llms.GooseAI attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.HuggingFaceEndpoint attribute)\n(langchain.llms.HuggingFaceHub attribute)\n(langchain.llms.HuggingFacePipeline attribute)\n(langchain.llms.HuggingFaceTextGenInference attribute)\n(langchain.llms.HumanInputLLM attribute)\n(langchain.llms.LlamaCpp attribute)\n(langchain.llms.Modal attribute)\n(langchain.llms.MosaicML attribute)\n(langchain.llms.NLPCloud attribute)\n(langchain.llms.OpenAI attribute)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-95", "text": "(langchain.llms.NLPCloud attribute)\n(langchain.llms.OpenAI attribute)\n(langchain.llms.OpenAIChat attribute)\n(langchain.llms.OpenLM attribute)\n(langchain.llms.Petals attribute)\n(langchain.llms.PipelineAI attribute)\n(langchain.llms.PredictionGuard attribute)\n(langchain.llms.Replicate attribute)\n(langchain.llms.RWKV attribute)\n(langchain.llms.SagemakerEndpoint attribute)\n(langchain.llms.SelfHostedHuggingFaceLLM attribute)\n(langchain.llms.SelfHostedPipeline attribute)\n(langchain.llms.StochasticAI attribute)\n(langchain.llms.VertexAI attribute)\n(langchain.llms.Writer attribute)\n(langchain.retrievers.SelfQueryRetriever attribute)\n(langchain.tools.BaseTool attribute)\n(langchain.tools.Tool attribute)\nVespaRetriever (class in langchain.retrievers)\nvideo_ids (langchain.document_loaders.GoogleApiYoutubeLoader attribute)\nvisible_only (langchain.tools.ClickTool attribute)\nvocab_only (langchain.embeddings.LlamaCppEmbeddings attribute)\n(langchain.llms.GPT4All attribute)\n(langchain.llms.LlamaCpp attribute)\nW\nwait_for_processing() (langchain.document_loaders.MathpixPDFLoader method)\nWeatherDataLoader (class in langchain.document_loaders)\nWeaviate (class in langchain.vectorstores)\nWeaviateHybridSearchRetriever (class in langchain.retrievers)\nWeaviateHybridSearchRetriever.Config (class in langchain.retrievers)\nweb_path (langchain.document_loaders.WebBaseLoader property)\nweb_paths (langchain.document_loaders.WebBaseLoader attribute)\nWebBaseLoader (class in langchain.document_loaders)\nWhatsAppChatLoader (class in langchain.document_loaders)", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "eddc1cc06a3b-96", "text": "WhatsAppChatLoader (class in langchain.document_loaders)\nWikipedia (class in langchain.docstore)\nWikipediaLoader (class in langchain.document_loaders)\nwolfram_alpha_appid (langchain.utilities.WolframAlphaAPIWrapper attribute)\nwriter_api_key (langchain.llms.Writer attribute)\nwriter_org_id (langchain.llms.Writer attribute)\nY\nYoutubeLoader (class in langchain.document_loaders)\nZ\nzapier_description (langchain.tools.ZapierNLARunAction attribute)\nZepRetriever (class in langchain.retrievers)\nZERO_SHOT_REACT_DESCRIPTION (langchain.agents.AgentType attribute)\nZilliz (class in langchain.vectorstores)\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/genindex.html"} {"id": "ca3915152821-0", "text": "Search\nError\nPlease activate JavaScript to enable the search functionality.\nCtrl+K\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/search.html"} {"id": "3afce59ef5a1-0", "text": ".md\n.pdf\nDeployments\n Contents \nStreamlit\nGradio (on Hugging Face)\nChainlit\nBeam\nVercel\nFastAPI + Vercel\nKinsta\nFly.io\nDigitalocean App Platform\nGoogle Cloud Run\nSteamShip\nLangchain-serve\nBentoML\nDatabutton\nDeployments#\nSo, you\u2019ve created a really cool chain - now what? How do you deploy it and make it easily shareable with the world?\nThis section covers several options for that. Note that these options are meant for quick deployment of prototypes and demos, not for production systems. If you need help with the deployment of a production system, please contact us directly.\nWhat follows is a list of template GitHub repositories designed to be easily forked and modified to use your chain. This list is far from exhaustive, and we are EXTREMELY open to contributions here.\nStreamlit#\nThis repo serves as a template for how to deploy a LangChain with Streamlit.\nIt implements a chatbot interface.\nIt also contains instructions for how to deploy this app on the Streamlit platform.\nGradio (on Hugging Face)#\nThis repo serves as a template for how deploy a LangChain with Gradio.\nIt implements a chatbot interface, with a \u201cBring-Your-Own-Token\u201d approach (nice for not wracking up big bills).\nIt also contains instructions for how to deploy this app on the Hugging Face platform.\nThis is heavily influenced by James Weaver\u2019s excellent examples.\nChainlit#\nThis repo is a cookbook explaining how to visualize and deploy LangChain agents with Chainlit.\nYou create ChatGPT-like UIs with Chainlit. Some of the key features include intermediary steps visualisation, element management & display (images, text, carousel, etc.) as well as cloud deployment.\nChainlit doc on the integration with LangChain\nBeam#", "source": "https://python.langchain.com/en/latest/ecosystem/deployments.html"} {"id": "3afce59ef5a1-1", "text": "Chainlit doc on the integration with LangChain\nBeam#\nThis repo serves as a template for how deploy a LangChain with Beam.\nIt implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.\nVercel#\nA minimal example on how to run LangChain on Vercel using Flask.\nFastAPI + Vercel#\nA minimal example on how to run LangChain on Vercel using FastAPI and LangCorn/Uvicorn.\nKinsta#\nA minimal example on how to deploy LangChain to Kinsta using Flask.\nFly.io#\nA minimal example of how to deploy LangChain to Fly.io using Flask.\nDigitalocean App Platform#\nA minimal example on how to deploy LangChain to DigitalOcean App Platform.\nGoogle Cloud Run#\nA minimal example on how to deploy LangChain to Google Cloud Run.\nSteamShip#\nThis repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship. This includes: production-ready endpoints, horizontal scaling across dependencies, persistent storage of app state, multi-tenancy support, etc.\nLangchain-serve#\nThis repository allows users to serve local chains and agents as RESTful, gRPC, or WebSocket APIs, thanks to Jina. Deploy your chains & agents with ease and enjoy independent scaling, serverless and autoscaling APIs, as well as a Streamlit playground on Jina AI Cloud.\nBentoML#\nThis repository provides an example of how to deploy a LangChain application with BentoML. BentoML is a framework that enables the containerization of machine learning applications as standard OCI images. BentoML also allows for the automatic generation of OpenAPI and gRPC endpoints. With BentoML, you can integrate models from all popular ML frameworks and deploy them as microservices running on the most optimal hardware and scaling independently.", "source": "https://python.langchain.com/en/latest/ecosystem/deployments.html"} {"id": "3afce59ef5a1-2", "text": "Databutton#\nThese templates serve as examples of how to build, deploy, and share LangChain applications using Databutton. You can create user interfaces with Streamlit, automate tasks by scheduling Python code, and store files and data in the built-in store. Examples include a Chatbot interface with conversational memory, a Personal search engine, and a starter template for LangChain apps. Deploying and sharing is just one click away.\nprevious\nDependents\nnext\nTracing\n Contents\n \nStreamlit\nGradio (on Hugging Face)\nChainlit\nBeam\nVercel\nFastAPI + Vercel\nKinsta\nFly.io\nDigitalocean App Platform\nGoogle Cloud Run\nSteamShip\nLangchain-serve\nBentoML\nDatabutton\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/ecosystem/deployments.html"} {"id": "049a17eb27e7-0", "text": ".md\n.pdf\nLocally Hosted Setup\n Contents \nInstallation\nEnvironment Setup\nLocally Hosted Setup#\nThis page contains instructions for installing and then setting up the environment to use the locally hosted version of tracing.\nInstallation#\nEnsure you have Docker installed (see Get Docker) and that it\u2019s running.\nInstall the latest version of langchain: pip install langchain or pip install langchain -U to upgrade your\nexisting version.\nRun langchain-server. This command was installed automatically when you ran the above command (pip install langchain).\nThis will spin up the server in the terminal, hosted on port 4137 by default.\nOnce you see the terminal\noutput langchain-langchain-frontend-1 | \u279c Local: [http://localhost:4173/](http://localhost:4173/), navigate\nto http://localhost:4173/\nYou should see a page with your tracing sessions. See the overview page for a walkthrough of the UI.\nCurrently, trace data is not guaranteed to be persisted between runs of langchain-server. If you want to\npersist your data, you can mount a volume to the Docker container. See the Docker docs for more info.\nTo stop the server, press Ctrl+C in the terminal where you ran langchain-server.\nEnvironment Setup#\nAfter installation, you must now set up your environment to use tracing.\nThis can be done by setting an environment variable in your terminal by running export LANGCHAIN_HANDLER=langchain.\nYou can also do this by adding the below snippet to the top of every script. IMPORTANT: this must go at the VERY TOP of your script, before you import anything from langchain.\nimport os\nos.environ[\"LANGCHAIN_HANDLER\"] = \"langchain\"\n Contents\n \nInstallation\nEnvironment Setup\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.", "source": "https://python.langchain.com/en/latest/tracing/local_installation.html"} {"id": "049a17eb27e7-1", "text": "By Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/tracing/local_installation.html"} {"id": "a66c6babef30-0", "text": ".md\n.pdf\nCloud Hosted Setup\n Contents \nInstallation\nEnvironment Setup\nCloud Hosted Setup#\nWe offer a hosted version of tracing at langchainplus.vercel.app. You can use this to view traces from your run without having to run the server locally.\nNote: we are currently only offering this to a limited number of users. The hosted platform is VERY alpha, in active development, and data might be dropped at any time. Don\u2019t depend on data being persisted in the system long term and don\u2019t log traces that may contain sensitive information. If you\u2019re interested in using the hosted platform, please fill out the form here.\nInstallation#\nLogin to the system and click \u201cAPI Key\u201d in the top right corner. Generate a new key and keep it safe. You will need it to authenticate with the system.\nEnvironment Setup#\nAfter installation, you must now set up your environment to use tracing.\nThis can be done by setting an environment variable in your terminal by running export LANGCHAIN_HANDLER=langchain.\nYou can also do this by adding the below snippet to the top of every script. IMPORTANT: this must go at the VERY TOP of your script, before you import anything from langchain.\nimport os\nos.environ[\"LANGCHAIN_HANDLER\"] = \"langchain\"\nYou will also need to set an environment variable to specify the endpoint and your API key. This can be done with the following environment variables:\nLANGCHAIN_ENDPOINT = \u201chttps://langchain-api-gateway-57eoxz8z.uc.gateway.dev\u201d\nLANGCHAIN_API_KEY - set this to the API key you generated during installation.\nAn example of adding all relevant environment variables is below:\nimport os\nos.environ[\"LANGCHAIN_HANDLER\"] = \"langchain\"\nos.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://langchain-api-gateway-57eoxz8z.uc.gateway.dev\"", "source": "https://python.langchain.com/en/latest/tracing/hosted_installation.html"} {"id": "a66c6babef30-1", "text": "os.environ[\"LANGCHAIN_API_KEY\"] = \"my_api_key\" # Don't commit this to your repo! Better to set it in your terminal.\n Contents\n \nInstallation\nEnvironment Setup\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/tracing/hosted_installation.html"} {"id": "8fbd356c7ab5-0", "text": ".ipynb\n.pdf\nTracing Walkthrough\n Contents \n[Beta] Tracing V2\nTracing Walkthrough#\nThere are two recommended ways to trace your LangChains:\nSetting the LANGCHAIN_TRACING environment variable to \u201ctrue\u201d.\nUsing a context manager with tracing_enabled() to trace a particular block of code.\nNote if the environment variable is set, all code will be traced, regardless of whether or not it\u2019s within the context manager.\nimport os\nos.environ[\"LANGCHAIN_TRACING\"] = \"true\"\n## Uncomment below if using hosted setup.\n# os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://langchain-api-gateway-57eoxz8z.uc.gateway.dev\" \n## Uncomment below if you want traces to be recorded to \"my_session\" instead of \"default\".\n# os.environ[\"LANGCHAIN_SESSION\"] = \"my_session\" \n## Better to set this environment variable in the terminal\n## Uncomment below if using hosted version. Replace \"my_api_key\" with your actual API Key.\n# os.environ[\"LANGCHAIN_API_KEY\"] = \"my_api_key\" \nimport langchain\nfrom langchain.agents import Tool, initialize_agent, load_tools\nfrom langchain.agents import AgentType\nfrom langchain.callbacks import tracing_enabled\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.llms import OpenAI\n# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\nllm = OpenAI(temperature=0)\ntools = load_tools([\"llm-math\"], llm=llm)\nagent = initialize_agent(\n tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n)\nagent.run(\"What is 2 raised to .123243 power?\")\n> Entering new AgentExecutor chain...", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "8fbd356c7ab5-1", "text": "> Entering new AgentExecutor chain...\n I need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2^.123243\nObservation: Answer: 1.0891804557407723\nThought: I now know the final answer.\nFinal Answer: 1.0891804557407723\n> Finished chain.\n'1.0891804557407723'\n# Agent run with tracing using a chat model\nagent = initialize_agent(\n tools, ChatOpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n)\nagent.run(\"What is 2 raised to .123243 power?\")\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2 ^ .123243\nObservation: Answer: 1.0891804557407723\nThought:I now know the answer to the question. \nFinal Answer: 1.0891804557407723\n> Finished chain.\n'1.0891804557407723'\n# Both of the agent runs will be traced because the environment variable is set\nagent.run(\"What is 2 raised to .123243 power?\")\nwith tracing_enabled() as session:\n agent.run(\"What is 5 raised to .123243 power?\")\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2 ^ .123243\nObservation: Answer: 1.0891804557407723\nThought:I now know the answer to the question. \nFinal Answer: 1.0891804557407723\n> Finished chain.\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "8fbd356c7ab5-2", "text": "I need to use a calculator to solve this.\nAction: Calculator\nAction Input: 5 ^ .123243\nObservation: Answer: 1.2193914912400514\nThought:I now know the answer to the question. \nFinal Answer: 1.2193914912400514\n> Finished chain.\n# Now, we unset the environment variable and use a context manager.\nif \"LANGCHAIN_TRACING\" in os.environ:\n del os.environ[\"LANGCHAIN_TRACING\"]\n# here, we are writing traces to \"my_test_session\"\nwith tracing_enabled(\"my_session\") as session:\n assert session\n agent.run(\"What is 5 raised to .123243 power?\") # this should be traced\nagent.run(\"What is 2 raised to .123243 power?\") # this should not be traced\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator\nAction Input: 5 ^ .123243\nObservation: Answer: 1.2193914912400514\nThought:I now know the answer to the question. \nFinal Answer: 1.2193914912400514\n> Finished chain.\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2 ^ .123243\nObservation: Answer: 1.0891804557407723\nThought:I now know the answer to the question. \nFinal Answer: 1.0891804557407723\n> Finished chain.\n'1.0891804557407723'\n# The context manager is concurrency safe:\nimport asyncio \nif \"LANGCHAIN_TRACING\" in os.environ:\n del os.environ[\"LANGCHAIN_TRACING\"]", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "8fbd356c7ab5-3", "text": "del os.environ[\"LANGCHAIN_TRACING\"]\n \nquestions = [f\"What is {i} raised to .123 power?\" for i in range(1,4)]\n# start a background task\ntask = asyncio.create_task(agent.arun(questions[0])) # this should not be traced\nwith tracing_enabled() as session:\n assert session\n tasks = [agent.arun(q) for q in questions[1:3]] # these should be traced\n await asyncio.gather(*tasks)\nawait task\n> Entering new AgentExecutor chain...\n> Entering new AgentExecutor chain...\n> Entering new AgentExecutor chain...\nI need to use a calculator to solve this.\nAction: Calculator\nAction Input: 3^0.123I need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2^0.123Any number raised to the power of 0 is 1, but I'm not sure about a decimal power.\nAction: Calculator\nAction Input: 1^.123\nObservation: Answer: 1.1446847956963533\nThought:\nObservation: Answer: 1.0889970153361064\nThought:\nObservation: Answer: 1.0\nThought:\n> Finished chain.\n> Finished chain.\n> Finished chain.\n'1.0'\n[Beta] Tracing V2#\nWe are rolling out a newer version of our tracing service with more features coming soon. Here are the instructions on how to use it to trace your runs.\nTo use, you can use the tracing_v2_enabled context manager or set LANGCHAIN_TRACING_V2 = 'true'\nOption 1 (Local):\nRun the local LangChainPlus Server\npip install --upgrade langchain\nlangchain plus start\nOption 2 (Hosted):", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "8fbd356c7ab5-4", "text": "pip install --upgrade langchain\nlangchain plus start\nOption 2 (Hosted):\nAfter making an account an grabbing a LangChainPlus API Key, set the LANGCHAIN_ENDPOINT and LANGCHAIN_API_KEY environment variables\nimport os\nos.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n# os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.langchain.plus\" # Uncomment this line if you want to use the hosted version\n# os.environ[\"LANGCHAIN_API_KEY\"] = \"\" # Uncomment this line if you want to use the hosted version.\nimport langchain\nfrom langchain.agents import Tool, initialize_agent, load_tools\nfrom langchain.agents import AgentType\nfrom langchain.callbacks import tracing_enabled\nfrom langchain.chat_models import ChatOpenAI\nfrom langchain.llms import OpenAI\n# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\nllm = OpenAI(temperature=0)\ntools = load_tools([\"llm-math\"], llm=llm)\nagent = initialize_agent(\n tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n)\nagent.run(\"What is 2 raised to .123243 power?\")\n> Entering new AgentExecutor chain...\n I need to use a calculator to solve this.\nAction: Calculator\nAction Input: 2^.123243\nObservation: Answer: 1.0891804557407723\nThought: I now know the final answer.\nFinal Answer: 1.0891804557407723\n> Finished chain.\n'1.0891804557407723'\n Contents\n \n[Beta] Tracing V2\nBy Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "8fbd356c7ab5-5", "text": "By Harrison Chase\n \n \u00a9 Copyright 2023, Harrison Chase.\n \n Last updated on May 31, 2023.", "source": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"} {"id": "9f13a6ebc64c-0", "text": "Source code for langchain.text_splitter\n\"\"\"Functionality for splitting text.\"\"\"\nfrom __future__ import annotations\nimport copy\nimport logging\nimport re\nfrom abc import ABC, abstractmethod\nfrom enum import Enum\nfrom typing import (\n AbstractSet,\n Any,\n Callable,\n Collection,\n Iterable,\n List,\n Literal,\n Optional,\n Sequence,\n Type,\n TypeVar,\n Union,\n)\nfrom langchain.docstore.document import Document\nfrom langchain.schema import BaseDocumentTransformer\nlogger = logging.getLogger(__name__)\nTS = TypeVar(\"TS\", bound=\"TextSplitter\")\ndef _split_text(text: str, separator: str, keep_separator: bool) -> List[str]:\n # Now that we have the separator, split the text\n if separator:\n if keep_separator:\n # The parentheses in the pattern keep the delimiters in the result.\n _splits = re.split(f\"({separator})\", text)\n splits = [_splits[i] + _splits[i + 1] for i in range(1, len(_splits), 2)]\n if len(_splits) % 2 == 0:\n splits += _splits[-1:]\n splits = [_splits[0]] + splits\n else:\n splits = text.split(separator)\n else:\n splits = list(text)\n return [s for s in splits if s != \"\"]\n[docs]class TextSplitter(BaseDocumentTransformer, ABC):\n \"\"\"Interface for splitting text into chunks.\"\"\"\n def __init__(\n self,\n chunk_size: int = 4000,\n chunk_overlap: int = 200,\n length_function: Callable[[str], int] = len,", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-1", "text": "length_function: Callable[[str], int] = len,\n keep_separator: bool = False,\n ):\n \"\"\"Create a new TextSplitter.\n Args:\n chunk_size: Maximum size of chunks to return\n chunk_overlap: Overlap in characters between chunks\n length_function: Function that measures the length of given chunks\n keep_separator: Whether or not to keep the separator in the chunks\n \"\"\"\n if chunk_overlap > chunk_size:\n raise ValueError(\n f\"Got a larger chunk overlap ({chunk_overlap}) than chunk size \"\n f\"({chunk_size}), should be smaller.\"\n )\n self._chunk_size = chunk_size\n self._chunk_overlap = chunk_overlap\n self._length_function = length_function\n self._keep_separator = keep_separator\n[docs] @abstractmethod\n def split_text(self, text: str) -> List[str]:\n \"\"\"Split text into multiple components.\"\"\"\n[docs] def create_documents(\n self, texts: List[str], metadatas: Optional[List[dict]] = None\n ) -> List[Document]:\n \"\"\"Create documents from a list of texts.\"\"\"\n _metadatas = metadatas or [{}] * len(texts)\n documents = []\n for i, text in enumerate(texts):\n for chunk in self.split_text(text):\n new_doc = Document(\n page_content=chunk, metadata=copy.deepcopy(_metadatas[i])\n )\n documents.append(new_doc)\n return documents\n[docs] def split_documents(self, documents: Iterable[Document]) -> List[Document]:\n \"\"\"Split documents.\"\"\"\n texts, metadatas = [], []\n for doc in documents:\n texts.append(doc.page_content)\n metadatas.append(doc.metadata)", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-2", "text": "texts.append(doc.page_content)\n metadatas.append(doc.metadata)\n return self.create_documents(texts, metadatas=metadatas)\n def _join_docs(self, docs: List[str], separator: str) -> Optional[str]:\n text = separator.join(docs)\n text = text.strip()\n if text == \"\":\n return None\n else:\n return text\n def _merge_splits(self, splits: Iterable[str], separator: str) -> List[str]:\n # We now want to combine these smaller pieces into medium size\n # chunks to send to the LLM.\n separator_len = self._length_function(separator)\n docs = []\n current_doc: List[str] = []\n total = 0\n for d in splits:\n _len = self._length_function(d)\n if (\n total + _len + (separator_len if len(current_doc) > 0 else 0)\n > self._chunk_size\n ):\n if total > self._chunk_size:\n logger.warning(\n f\"Created a chunk of size {total}, \"\n f\"which is longer than the specified {self._chunk_size}\"\n )\n if len(current_doc) > 0:\n doc = self._join_docs(current_doc, separator)\n if doc is not None:\n docs.append(doc)\n # Keep on popping if:\n # - we have a larger chunk than in the chunk overlap\n # - or if we still have any chunks and the length is long\n while total > self._chunk_overlap or (\n total + _len + (separator_len if len(current_doc) > 0 else 0)\n > self._chunk_size\n and total > 0\n ):", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-3", "text": "> self._chunk_size\n and total > 0\n ):\n total -= self._length_function(current_doc[0]) + (\n separator_len if len(current_doc) > 1 else 0\n )\n current_doc = current_doc[1:]\n current_doc.append(d)\n total += _len + (separator_len if len(current_doc) > 1 else 0)\n doc = self._join_docs(current_doc, separator)\n if doc is not None:\n docs.append(doc)\n return docs\n[docs] @classmethod\n def from_huggingface_tokenizer(cls, tokenizer: Any, **kwargs: Any) -> TextSplitter:\n \"\"\"Text splitter that uses HuggingFace tokenizer to count length.\"\"\"\n try:\n from transformers import PreTrainedTokenizerBase\n if not isinstance(tokenizer, PreTrainedTokenizerBase):\n raise ValueError(\n \"Tokenizer received was not an instance of PreTrainedTokenizerBase\"\n )\n def _huggingface_tokenizer_length(text: str) -> int:\n return len(tokenizer.encode(text))\n except ImportError:\n raise ValueError(\n \"Could not import transformers python package. \"\n \"Please install it with `pip install transformers`.\"\n )\n return cls(length_function=_huggingface_tokenizer_length, **kwargs)\n[docs] @classmethod\n def from_tiktoken_encoder(\n cls: Type[TS],\n encoding_name: str = \"gpt2\",\n model_name: Optional[str] = None,\n allowed_special: Union[Literal[\"all\"], AbstractSet[str]] = set(),\n disallowed_special: Union[Literal[\"all\"], Collection[str]] = \"all\",\n **kwargs: Any,\n ) -> TS:", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-4", "text": "**kwargs: Any,\n ) -> TS:\n \"\"\"Text splitter that uses tiktoken encoder to count length.\"\"\"\n try:\n import tiktoken\n except ImportError:\n raise ImportError(\n \"Could not import tiktoken python package. \"\n \"This is needed in order to calculate max_tokens_for_prompt. \"\n \"Please install it with `pip install tiktoken`.\"\n )\n if model_name is not None:\n enc = tiktoken.encoding_for_model(model_name)\n else:\n enc = tiktoken.get_encoding(encoding_name)\n def _tiktoken_encoder(text: str) -> int:\n return len(\n enc.encode(\n text,\n allowed_special=allowed_special,\n disallowed_special=disallowed_special,\n )\n )\n if issubclass(cls, TokenTextSplitter):\n extra_kwargs = {\n \"encoding_name\": encoding_name,\n \"model_name\": model_name,\n \"allowed_special\": allowed_special,\n \"disallowed_special\": disallowed_special,\n }\n kwargs = {**kwargs, **extra_kwargs}\n return cls(length_function=_tiktoken_encoder, **kwargs)\n[docs] def transform_documents(\n self, documents: Sequence[Document], **kwargs: Any\n ) -> Sequence[Document]:\n \"\"\"Transform sequence of documents by splitting them.\"\"\"\n return self.split_documents(list(documents))\n[docs] async def atransform_documents(\n self, documents: Sequence[Document], **kwargs: Any\n ) -> Sequence[Document]:\n \"\"\"Asynchronously transform a sequence of documents by splitting them.\"\"\"\n raise NotImplementedError\n[docs]class CharacterTextSplitter(TextSplitter):\n \"\"\"Implementation of splitting text that looks at characters.\"\"\"", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-5", "text": "\"\"\"Implementation of splitting text that looks at characters.\"\"\"\n def __init__(self, separator: str = \"\\n\\n\", **kwargs: Any):\n \"\"\"Create a new TextSplitter.\"\"\"\n super().__init__(**kwargs)\n self._separator = separator\n[docs] def split_text(self, text: str) -> List[str]:\n \"\"\"Split incoming text and return chunks.\"\"\"\n # First we naively split the large input into a bunch of smaller ones.\n splits = _split_text(text, self._separator, self._keep_separator)\n _separator = \"\" if self._keep_separator else self._separator\n return self._merge_splits(splits, _separator)\n[docs]class TokenTextSplitter(TextSplitter):\n \"\"\"Implementation of splitting text that looks at tokens.\"\"\"\n def __init__(\n self,\n encoding_name: str = \"gpt2\",\n model_name: Optional[str] = None,\n allowed_special: Union[Literal[\"all\"], AbstractSet[str]] = set(),\n disallowed_special: Union[Literal[\"all\"], Collection[str]] = \"all\",\n **kwargs: Any,\n ):\n \"\"\"Create a new TextSplitter.\"\"\"\n super().__init__(**kwargs)\n try:\n import tiktoken\n except ImportError:\n raise ImportError(\n \"Could not import tiktoken python package. \"\n \"This is needed in order to for TokenTextSplitter. \"\n \"Please install it with `pip install tiktoken`.\"\n )\n if model_name is not None:\n enc = tiktoken.encoding_for_model(model_name)\n else:\n enc = tiktoken.get_encoding(encoding_name)\n self._tokenizer = enc\n self._allowed_special = allowed_special", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-6", "text": "self._tokenizer = enc\n self._allowed_special = allowed_special\n self._disallowed_special = disallowed_special\n[docs] def split_text(self, text: str) -> List[str]:\n \"\"\"Split incoming text and return chunks.\"\"\"\n splits = []\n input_ids = self._tokenizer.encode(\n text,\n allowed_special=self._allowed_special,\n disallowed_special=self._disallowed_special,\n )\n start_idx = 0\n cur_idx = min(start_idx + self._chunk_size, len(input_ids))\n chunk_ids = input_ids[start_idx:cur_idx]\n while start_idx < len(input_ids):\n splits.append(self._tokenizer.decode(chunk_ids))\n start_idx += self._chunk_size - self._chunk_overlap\n cur_idx = min(start_idx + self._chunk_size, len(input_ids))\n chunk_ids = input_ids[start_idx:cur_idx]\n return splits\n[docs]class RecursiveCharacterTextSplitter(TextSplitter):\n \"\"\"Implementation of splitting text that looks at characters.\n Recursively tries to split by different characters to find one\n that works.\n \"\"\"\n def __init__(\n self,\n separators: Optional[List[str]] = None,\n keep_separator: bool = True,\n **kwargs: Any,\n ):\n \"\"\"Create a new TextSplitter.\"\"\"\n super().__init__(keep_separator=keep_separator, **kwargs)\n self._separators = separators or [\"\\n\\n\", \"\\n\", \" \", \"\"]\n def _split_text(self, text: str, separators: List[str]) -> List[str]:\n \"\"\"Split incoming text and return chunks.\"\"\"\n final_chunks = []\n # Get appropriate separator to use\n separator = separators[-1]\n new_separators = None", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-7", "text": "separator = separators[-1]\n new_separators = None\n for i, _s in enumerate(separators):\n if _s == \"\":\n separator = _s\n break\n if _s in text:\n separator = _s\n new_separators = separators[i + 1 :]\n break\n splits = _split_text(text, separator, self._keep_separator)\n # Now go merging things, recursively splitting longer texts.\n _good_splits = []\n _separator = \"\" if self._keep_separator else separator\n for s in splits:\n if self._length_function(s) < self._chunk_size:\n _good_splits.append(s)\n else:\n if _good_splits:\n merged_text = self._merge_splits(_good_splits, _separator)\n final_chunks.extend(merged_text)\n _good_splits = []\n if new_separators is None:\n final_chunks.append(s)\n else:\n other_info = self._split_text(s, new_separators)\n final_chunks.extend(other_info)\n if _good_splits:\n merged_text = self._merge_splits(_good_splits, _separator)\n final_chunks.extend(merged_text)\n return final_chunks\n[docs] def split_text(self, text: str) -> List[str]:\n return self._split_text(text, self._separators)\n[docs]class NLTKTextSplitter(TextSplitter):\n \"\"\"Implementation of splitting text that looks at sentences using NLTK.\"\"\"\n def __init__(self, separator: str = \"\\n\\n\", **kwargs: Any):\n \"\"\"Initialize the NLTK splitter.\"\"\"\n super().__init__(**kwargs)\n try:\n from nltk.tokenize import sent_tokenize", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-8", "text": "try:\n from nltk.tokenize import sent_tokenize\n self._tokenizer = sent_tokenize\n except ImportError:\n raise ImportError(\n \"NLTK is not installed, please install it with `pip install nltk`.\"\n )\n self._separator = separator\n[docs] def split_text(self, text: str) -> List[str]:\n \"\"\"Split incoming text and return chunks.\"\"\"\n # First we naively split the large input into a bunch of smaller ones.\n splits = self._tokenizer(text)\n return self._merge_splits(splits, self._separator)\n[docs]class SpacyTextSplitter(TextSplitter):\n \"\"\"Implementation of splitting text that looks at sentences using Spacy.\"\"\"\n def __init__(\n self, separator: str = \"\\n\\n\", pipeline: str = \"en_core_web_sm\", **kwargs: Any\n ):\n \"\"\"Initialize the spacy text splitter.\"\"\"\n super().__init__(**kwargs)\n try:\n import spacy\n except ImportError:\n raise ImportError(\n \"Spacy is not installed, please install it with `pip install spacy`.\"\n )\n self._tokenizer = spacy.load(pipeline)\n self._separator = separator\n[docs] def split_text(self, text: str) -> List[str]:\n \"\"\"Split incoming text and return chunks.\"\"\"\n splits = (str(s) for s in self._tokenizer(text).sents)\n return self._merge_splits(splits, self._separator)\n[docs]class MarkdownTextSplitter(RecursiveCharacterTextSplitter):\n \"\"\"Attempts to split the text along Markdown-formatted headings.\"\"\"\n def __init__(self, **kwargs: Any):\n \"\"\"Initialize a MarkdownTextSplitter.\"\"\"\n separators = [", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-9", "text": "\"\"\"Initialize a MarkdownTextSplitter.\"\"\"\n separators = [\n # First, try to split along Markdown headings (starting with level 2)\n \"\\n## \",\n \"\\n### \",\n \"\\n#### \",\n \"\\n##### \",\n \"\\n###### \",\n # Note the alternative syntax for headings (below) is not handled here\n # Heading level 2\n # ---------------\n # End of code block\n \"```\\n\\n\",\n # Horizontal lines\n \"\\n\\n***\\n\\n\",\n \"\\n\\n---\\n\\n\",\n \"\\n\\n___\\n\\n\",\n # Note that this splitter doesn't handle horizontal lines defined\n # by *three or more* of ***, ---, or ___, but this is not handled\n \"\\n\\n\",\n \"\\n\",\n \" \",\n \"\",\n ]\n super().__init__(separators=separators, **kwargs)\n[docs]class LatexTextSplitter(RecursiveCharacterTextSplitter):\n \"\"\"Attempts to split the text along Latex-formatted layout elements.\"\"\"\n def __init__(self, **kwargs: Any):\n \"\"\"Initialize a LatexTextSplitter.\"\"\"\n separators = [\n # First, try to split along Latex sections\n \"\\n\\\\chapter{\",\n \"\\n\\\\section{\",\n \"\\n\\\\subsection{\",\n \"\\n\\\\subsubsection{\",\n # Now split by environments\n \"\\n\\\\begin{enumerate}\",\n \"\\n\\\\begin{itemize}\",\n \"\\n\\\\begin{description}\",\n \"\\n\\\\begin{list}\",\n \"\\n\\\\begin{quote}\",\n \"\\n\\\\begin{quotation}\",\n \"\\n\\\\begin{verse}\",", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-10", "text": "\"\\n\\\\begin{quotation}\",\n \"\\n\\\\begin{verse}\",\n \"\\n\\\\begin{verbatim}\",\n ## Now split by math environments\n \"\\n\\\\begin{align}\",\n \"$$\",\n \"$\",\n # Now split by the normal type of lines\n \" \",\n \"\",\n ]\n super().__init__(separators=separators, **kwargs)\n[docs]class PythonCodeTextSplitter(RecursiveCharacterTextSplitter):\n \"\"\"Attempts to split the text along Python syntax.\"\"\"\n def __init__(self, **kwargs: Any):\n \"\"\"Initialize a PythonCodeTextSplitter.\"\"\"\n separators = [\n # First, try to split along class definitions\n \"\\nclass \",\n \"\\ndef \",\n \"\\n\\tdef \",\n # Now split by the normal type of lines\n \"\\n\\n\",\n \"\\n\",\n \" \",\n \"\",\n ]\n super().__init__(separators=separators, **kwargs)\n[docs]class HtmlTextSplitter(RecursiveCharacterTextSplitter):\n \"\"\"Attempts to split the text along HTML layout elements.\"\"\"\n def __init__(self, **kwargs: Any):\n \"\"\"Initialize a HtmlTextSplitter.\"\"\"\n separators = [\n # First, try to split along HTML tags\n \"\",\n \"
\",\n \"

\",\n \"
\",\n \"

  • \",\n \"

    \",\n \"

    \",\n \"

    \",\n \"

    \",\n \"

    \",\n \"
    \",\n \"\",\n \"\",\n \"\",\n \"
    \",\n \"\",\n \"
      \",\n \"
        \",\n \"
        \",", "source": "https://python.langchain.com/en/latest/_modules/langchain/text_splitter.html"} {"id": "9f13a6ebc64c-11", "text": "\"
    		\",\n \"
      \",\n \"
        \",\n \"
        \",\n \"