viruPVS/langchain-docs huggingface dataset:
Load ReadTheDocs documentation directory.
document_loaders.recursive_url_loader.RecursiveUrlLoader(url)
Load all child links from a URL page.
document_loaders.reddit.RedditPostsLoader(...)
Load Reddit posts.
document_loaders.roam.RoamLoader(path)
Load Roam files from a directory.
document_loaders.rocksetdb.ColumnNotFoundError(...)
Column not found error.
document_loaders.rocksetdb.RocksetLoader(...)
Load from a Rockset database.
document_loaders.rspace.RSpaceLoader(global_id)
Loads  content from RSpace notebooks, folders, documents or PDF Gallery files into Langchain documents.
document_loaders.rss.RSSFeedLoader([urls, ...])
Load news articles from RSS feeds using Unstructured.
document_loaders.rst.UnstructuredRSTLoader(...)
Load RST files using Unstructured.
document_loaders.rtf.UnstructuredRTFLoader(...)
Load RTF files using Unstructured.
document_loaders.s3_directory.S3DirectoryLoader(bucket)
Load from Amazon AWS S3 directory.
document_loaders.s3_file.S3FileLoader(...[, ...])
Load from Amazon AWS S3 file.
document_loaders.sharepoint.SharePointLoader
Load  from SharePoint.
document_loaders.sitemap.SitemapLoader(web_path)
Load a sitemap and its URLs.
document_loaders.slack_directory.SlackDirectoryLoader(...)
Load from a Slack directory dump.
document_loaders.snowflake_loader.SnowflakeLoader(...)
Load from Snowflake API.
document_loaders.spreedly.SpreedlyLoader(...)
Load from Spreedly API.
document_loaders.srt.SRTLoader(file_path)
Load .srt (subtitle) files.
document_loaders.stripe.StripeLoader(resource)
Load from Stripe API.
document_loaders.stripe.StripeLoader(resource)
Load from Stripe API.
document_loaders.telegram.TelegramChatApiLoader([...])
Load Telegram chat json directory dump.
document_loaders.telegram.TelegramChatFileLoader(path)
Load from Telegram chat dump.
document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader(...)
Load from Tencent Cloud COS directory.
document_loaders.tencent_cos_file.TencentCOSFileLoader(...)
Load from Tencent Cloud COS file.
document_loaders.tensorflow_datasets.TensorflowDatasetLoader(...)
Load from TensorFlow Dataset.
document_loaders.text.TextLoader(file_path)
Load text file.
document_loaders.tomarkdown.ToMarkdownLoader(...)
Load HTML using 2markdown API.
document_loaders.toml.TomlLoader(source)
Load TOML files.
document_loaders.trello.TrelloLoader(client, ...)
Load cards from a Trello board.
document_loaders.tsv.UnstructuredTSVLoader(...)
Load TSV files using Unstructured.
document_loaders.twitter.TwitterTweetLoader(...)
Load Twitter tweets.
document_loaders.unstructured.UnstructuredAPIFileIOLoader(file)
Load files using Unstructured API.
document_loaders.unstructured.UnstructuredAPIFileLoader([...])
Load files using Unstructured API.
document_loaders.unstructured.UnstructuredBaseLoader([...])
Base Loader that uses Unstructured.
document_loaders.unstructured.UnstructuredFileIOLoader(file)
Load files using Unstructured.
document_loaders.unstructured.UnstructuredFileLoader(...)
Load files using Unstructured.
document_loaders.url.UnstructuredURLLoader(urls)
Load files from remote URLs using Unstructured.
document_loaders.url_playwright.PlaywrightEvaluator()
Abstract base class for all evaluators.
document_loaders.url_playwright.PlaywrightURLLoader(urls)
Load HTML pages with Playwright and parse with Unstructured.
Load HTML pages with Playwright and parse with Unstructured.
document_loaders.url_playwright.UnstructuredHtmlEvaluator([...])
Evaluates the page HTML content using the unstructured library.
document_loaders.url_selenium.SeleniumURLLoader(urls)
Load HTML pages with Selenium and parse with Unstructured.
document_loaders.weather.WeatherDataLoader(...)
Load weather data with Open Weather Map API.
document_loaders.web_base.WebBaseLoader([...])
Load HTML pages using urllib and parse them with `BeautifulSoup'.
document_loaders.whatsapp_chat.WhatsAppChatLoader(path)
Load WhatsApp messages text file.
document_loaders.wikipedia.WikipediaLoader(query)
Load from Wikipedia.
document_loaders.word_document.Docx2txtLoader(...)
Load DOCX file using docx2txt and chunks at character level.
document_loaders.word_document.UnstructuredWordDocumentLoader(...)
Load Microsoft Word file using Unstructured.
document_loaders.xml.UnstructuredXMLLoader(...)
Load XML file using Unstructured.
document_loaders.xorbits.XorbitsLoader(...)
Load Xorbits DataFrame.
document_loaders.youtube.GoogleApiClient([...])
Generic Google API Client.
document_loaders.youtube.GoogleApiYoutubeLoader(...)
Load all Videos from a YouTube Channel.
document_loaders.youtube.YoutubeLoader(video_id)
Load YouTube transcripts.
Functions¶
document_loaders.base_o365.fetch_mime_types(...)
Fetch the mime types for the specified file types.
document_loaders.chatgpt.concatenate_rows(...)
Combine message information in a readable format ready to be used.
document_loaders.facebook_chat.concatenate_rows(row)
Combine message information in a readable format ready to be used.
document_loaders.helpers.detect_file_encodings(...)
Try to detect the file encoding.
document_loaders.notebook.concatenate_cells(...)
Combine cells information in a readable format ready to be used.
Combine cells information in a readable format ready to be used.
document_loaders.notebook.remove_newlines(x)
Recursively remove newlines, no matter the data structure they are stored in.
document_loaders.parsers.pdf.extract_from_images_with_rapidocr(images)
Extract text from images with RapidOCR.
document_loaders.parsers.registry.get_parser(...)
Get a parser by parser name.
document_loaders.rocksetdb.default_joiner(docs)
Default joiner for content columns.
document_loaders.telegram.concatenate_rows(row)
Combine message information in a readable format ready to be used.
document_loaders.telegram.text_to_docs(text)
Convert a string or list of strings to a list of Documents with metadata.
document_loaders.unstructured.get_elements_from_api([...])
Retrieve a list of elements from the Unstructured API.
document_loaders.unstructured.satisfies_min_unstructured_version(...)
Check if the installed Unstructured version exceeds the minimum version for the feature in question.
document_loaders.unstructured.validate_unstructured_version(...)
Raise an error if the Unstructured version does not exceed the specified minimum.
document_loaders.whatsapp_chat.concatenate_rows(...)
Combine message information in a readable format ready to be used.
langchain_community.document_transformers¶
Document Transformers are classes to transform Documents.
Document Transformers usually used to transform a lot of Documents in a single run.
Class hierarchy:
BaseDocumentTransformer --> <name>  # Examples: DoctranQATransformer, DoctranTextTranslator
Main helpers:
Document
Classes¶
document_transformers.beautiful_soup_transformer.BeautifulSoupTransformer()
Transform HTML content by extracting specific tags and removing unwanted ones.
document_transformers.doctran_text_extract.DoctranPropertyExtractor(...)
Extract properties from text documents using doctran.
document_transformers.doctran_text_qa.DoctranQATransformer([...])
document_transformers.doctran_text_qa.DoctranQATransformer([...])
Extract QA from text documents using doctran.
document_transformers.doctran_text_translate.DoctranTextTranslator([...])
Translate text documents using doctran.
document_transformers.embeddings_redundant_filter.EmbeddingsClusteringFilter
Perform K-means clustering on document vectors.
document_transformers.embeddings_redundant_filter.EmbeddingsRedundantFilter
Filter that drops redundant documents by comparing their embeddings.
document_transformers.google_translate.GoogleTranslateTransformer(...)
Translate text documents using Google Cloud Translation.
document_transformers.html2text.Html2TextTransformer([...])
Replace occurrences of a particular search pattern with a replacement string
document_transformers.long_context_reorder.LongContextReorder
Lost in the middle: Performance degrades when models must access relevant information in the middle of long contexts.
document_transformers.nuclia_text_transform.NucliaTextTransformer(nua)
The Nuclia Understanding API splits into paragraphs and sentences, identifies entities, provides a summary of the text and generates embeddings for all sentences.
document_transformers.openai_functions.OpenAIMetadataTagger
Extract metadata tags from document contents using OpenAI functions.
Functions¶
document_transformers.beautiful_soup_transformer.get_navigable_strings(element)
document_transformers.embeddings_redundant_filter.get_stateful_documents(...)
Convert a list of documents to a list of documents with state.
document_transformers.openai_functions.create_metadata_tagger(...)
Create a DocumentTransformer that uses an OpenAI function chain to automatically
langchain_community.embeddings¶
Embedding models  are wrappers around embedding models
from different APIs and services.
Embedding models can be LLMs or not.
Class hierarchy:
Embeddings --> <name>Embeddings  # Examples: OpenAIEmbeddings, HuggingFaceEmbeddings
Classes¶
Classes¶
embeddings.aleph_alpha.AlephAlphaAsymmetricSemanticEmbedding
Aleph Alpha's asymmetric semantic embedding.
embeddings.aleph_alpha.AlephAlphaSymmetricSemanticEmbedding
The symmetric version of the Aleph Alpha's semantic embeddings.
embeddings.awa.AwaEmbeddings
Embedding documents and queries with Awa DB.
embeddings.azure_openai.AzureOpenAIEmbeddings
Azure OpenAI Embeddings API.
embeddings.baidu_qianfan_endpoint.QianfanEmbeddingsEndpoint
Baidu Qianfan Embeddings embedding models.
embeddings.bedrock.BedrockEmbeddings
Bedrock embedding models.
embeddings.bookend.BookendEmbeddings
Bookend AI sentence_transformers embedding models.
embeddings.clarifai.ClarifaiEmbeddings
Clarifai embedding models.
embeddings.cloudflare_workersai.CloudflareWorkersAIEmbeddings
Cloudflare Workers AI embedding model.
embeddings.cohere.CohereEmbeddings
Cohere embedding models.
embeddings.dashscope.DashScopeEmbeddings
DashScope embedding models.
embeddings.databricks.DatabricksEmbeddings
Wrapper around embeddings LLMs in Databricks.
embeddings.deepinfra.DeepInfraEmbeddings
Deep Infra's embedding inference service.
embeddings.edenai.EdenAiEmbeddings
EdenAI embedding.
embeddings.elasticsearch.ElasticsearchEmbeddings(...)
Elasticsearch embedding models.
embeddings.embaas.EmbaasEmbeddings
Embaas's embedding service.
embeddings.embaas.EmbaasEmbeddingsPayload
Payload for the Embaas embeddings API.
embeddings.ernie.ErnieEmbeddings
Ernie Embeddings V1 embedding models.
embeddings.fake.DeterministicFakeEmbedding
Fake embedding model that always returns the same embedding vector for the same text.
Fake embedding model that always returns the same embedding vector for the same text.
embeddings.fake.FakeEmbeddings
Fake embedding model.
embeddings.fastembed.FastEmbedEmbeddings
Qdrant FastEmbedding models.
embeddings.google_palm.GooglePalmEmbeddings
Google's PaLM Embeddings APIs.
embeddings.gpt4all.GPT4AllEmbeddings
GPT4All embedding models.
embeddings.gradient_ai.GradientEmbeddings
Gradient.ai Embedding models.
embeddings.gradient_ai.TinyAsyncGradientEmbeddingClient([...])
A helper tool to embed Gradient.
embeddings.huggingface.HuggingFaceBgeEmbeddings
HuggingFace BGE sentence_transformers embedding models.
embeddings.huggingface.HuggingFaceEmbeddings
HuggingFace sentence_transformers embedding models.
embeddings.huggingface.HuggingFaceInferenceAPIEmbeddings
Embed texts using the HuggingFace API.
embeddings.huggingface.HuggingFaceInstructEmbeddings
Wrapper around sentence_transformers embedding models.
embeddings.huggingface_hub.HuggingFaceHubEmbeddings
HuggingFaceHub embedding models.
embeddings.infinity.InfinityEmbeddings
Embedding models for self-hosted https://github.com/michaelfeil/infinity This should also work for text-embeddings-inference and other self-hosted openai-compatible servers.
embeddings.infinity.TinyAsyncOpenAIInfinityEmbeddingClient([...])
A helper tool to embed Infinity.
embeddings.javelin_ai_gateway.JavelinAIGatewayEmbeddings
Wrapper around embeddings LLMs in the Javelin AI Gateway.
embeddings.jina.JinaEmbeddings
Jina embedding models.
embeddings.johnsnowlabs.JohnSnowLabsEmbeddings
JohnSnowLabs embedding models
embeddings.llamacpp.LlamaCppEmbeddings
llama.cpp embedding models.
embeddings.llamacpp.LlamaCppEmbeddings
llama.cpp embedding models.
embeddings.llm_rails.LLMRailsEmbeddings
LLMRails embedding models.
embeddings.localai.LocalAIEmbeddings
LocalAI embedding models.
embeddings.minimax.MiniMaxEmbeddings
MiniMax's embedding service.
embeddings.mlflow.MlflowEmbeddings
Wrapper around embeddings LLMs in MLflow.
embeddings.mlflow_gateway.MlflowAIGatewayEmbeddings
Wrapper around embeddings LLMs in the MLflow AI Gateway.
embeddings.modelscope_hub.ModelScopeEmbeddings
ModelScopeHub embedding models.
embeddings.mosaicml.MosaicMLInstructorEmbeddings
MosaicML embedding service.
embeddings.nlpcloud.NLPCloudEmbeddings
NLP Cloud embedding models.
embeddings.octoai_embeddings.OctoAIEmbeddings
OctoAI Compute Service embedding models.
embeddings.ollama.OllamaEmbeddings
Ollama locally runs large language models.
embeddings.openai.OpenAIEmbeddings
OpenAI embedding models.
embeddings.sagemaker_endpoint.EmbeddingsContentHandler()
Content handler for LLM class.
embeddings.sagemaker_endpoint.SagemakerEndpointEmbeddings
Custom Sagemaker Inference Endpoints.
embeddings.self_hosted.SelfHostedEmbeddings
Custom embedding models on self-hosted remote hardware.
embeddings.self_hosted_hugging_face.SelfHostedHuggingFaceEmbeddings
HuggingFace embedding models on self-hosted remote hardware.
embeddings.self_hosted_hugging_face.SelfHostedHuggingFaceInstructEmbeddings
HuggingFace InstructEmbedding models on self-hosted remote hardware.
embeddings.spacy_embeddings.SpacyEmbeddings
Embeddings by SpaCy models.
embeddings.tensorflow_hub.TensorflowHubEmbeddings
Embeddings by SpaCy models.
embeddings.tensorflow_hub.TensorflowHubEmbeddings
TensorflowHub embedding models.
embeddings.vertexai.VertexAIEmbeddings
Google Cloud VertexAI embedding models.
embeddings.voyageai.VoyageEmbeddings
Voyage embedding models.
embeddings.xinference.XinferenceEmbeddings([...])
Xinference embedding models.
Functions¶
embeddings.dashscope.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.google_palm.embed_with_retry(...)
Use tenacity to retry the completion call.
embeddings.localai.async_embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.localai.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.minimax.embed_with_retry(...)
Use tenacity to retry the completion call.
embeddings.openai.async_embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.openai.embed_with_retry(...)
Use tenacity to retry the embedding call.
embeddings.self_hosted_hugging_face.load_embedding_model(...)
Load the embedding model.
embeddings.voyageai.embed_with_retry(...)
Use tenacity to retry the embedding call.
langchain_community.graphs¶
Graphs provide a natural language interface to graph databases.
Classes¶
graphs.arangodb_graph.ArangoGraph(db)
ArangoDB wrapper for graph operations.
graphs.falkordb_graph.FalkorDBGraph(database)
FalkorDB wrapper for graph operations.
graphs.graph_document.GraphDocument
Represents a graph document consisting of nodes and relationships.
graphs.graph_document.Node
Represents a node in a graph with associated properties.
graphs.graph_document.Relationship
Represents a directed relationship between two nodes in a graph.
graphs.graph_store.GraphStore()
An abstract class wrapper for graph operations.
graphs.graph_store.GraphStore()
An abstract class wrapper for graph operations.
graphs.hugegraph.HugeGraph([username, ...])
HugeGraph wrapper for graph operations.
graphs.kuzu_graph.KuzuGraph(db[, database])
Kùzu wrapper for graph operations.
graphs.memgraph_graph.MemgraphGraph(url, ...)
Memgraph wrapper for graph operations.
graphs.nebula_graph.NebulaGraph(space[, ...])
NebulaGraph wrapper for graph operations.
graphs.neo4j_graph.Neo4jGraph([url, ...])
Neo4j wrapper for graph operations.
graphs.neptune_graph.NeptuneGraph(host[, ...])
Neptune wrapper for graph operations.
graphs.neptune_graph.NeptuneQueryException(...)
A class to handle queries that fail to execute
graphs.networkx_graph.KnowledgeTriple(...)
A triple in the graph.
graphs.networkx_graph.NetworkxEntityGraph([graph])
Networkx wrapper for entity graph operations.
graphs.rdf_graph.RdfGraph([source_file, ...])
RDFlib wrapper for graph operations.
Functions¶
graphs.arangodb_graph.get_arangodb_client([...])
Get the Arango DB client from credentials.
graphs.networkx_graph.get_entities(entity_str)
Extract entities from entity string.
graphs.networkx_graph.parse_triples(...)
Parse knowledge triples from the knowledge string.
langchain_community.indexes¶
Classes¶
indexes.base.RecordManager(namespace)
An abstract base class representing the interface for a record manager.
langchain_community.llms¶
LLM classes provide
access to the large language model (LLM) APIs and services.
Class hierarchy:
BaseLanguageModel --> BaseLLM --> LLM --> <name>  # Examples: AI21, HuggingFaceHub, OpenAI
Main helpers:
LLMResult, PromptValue,
Main helpers:
LLMResult, PromptValue,
CallbackManagerForLLMRun, AsyncCallbackManagerForLLMRun,
CallbackManager, AsyncCallbackManager,
AIMessage, BaseMessage
Classes¶
llms.ai21.AI21
AI21 large language models.
llms.ai21.AI21PenaltyData
Parameters for AI21 penalty data.
llms.aleph_alpha.AlephAlpha
Aleph Alpha large language models.
llms.amazon_api_gateway.AmazonAPIGateway
Amazon API Gateway to access LLM models hosted on AWS.
llms.amazon_api_gateway.ContentHandlerAmazonAPIGateway()
Adapter to prepare the inputs from Langchain to a format that LLM model expects.
llms.anthropic.Anthropic
Anthropic large language models.
llms.anyscale.Anyscale
Anyscale large language models.
llms.arcee.Arcee
Arcee's Domain Adapted Language Models (DALMs).
llms.aviary.Aviary
Aviary hosted models.
llms.aviary.AviaryBackend(backend_url, bearer)
Aviary backend.
llms.azureml_endpoint.AzureMLEndpointClient(...)
AzureML Managed Endpoint client.
llms.azureml_endpoint.AzureMLOnlineEndpoint
Azure ML Online Endpoint models.
llms.azureml_endpoint.ContentFormatterBase()
Transform request and response of AzureML endpoint to match with required schema.
llms.azureml_endpoint.DollyContentFormatter()
Content handler for the Dolly-v2-12b model
llms.azureml_endpoint.GPT2ContentFormatter()
Content handler for GPT2
llms.azureml_endpoint.HFContentFormatter()
Content handler for LLMs from the HuggingFace catalog.
llms.azureml_endpoint.LlamaContentFormatter()
Content formatter for LLaMa
llms.azureml_endpoint.OSSContentFormatter()
Content formatter for LLaMa
llms.azureml_endpoint.OSSContentFormatter()
Deprecated: Kept for backwards compatibility
llms.baidu_qianfan_endpoint.QianfanLLMEndpoint
Baidu Qianfan hosted open source or customized models.
llms.bananadev.Banana
Banana large language models.
llms.baseten.Baseten
Baseten models.
llms.beam.Beam
Beam API for gpt2 large language model.
llms.bedrock.Bedrock
Bedrock models.
llms.bedrock.BedrockBase
Base class for Bedrock models.
llms.bedrock.LLMInputOutputAdapter()
Adapter class to prepare the inputs from Langchain to a format that LLM model expects.
llms.bittensor.NIBittensorLLM
NIBittensor LLMs
llms.cerebriumai.CerebriumAI
CerebriumAI large language models.
llms.chatglm.ChatGLM
ChatGLM LLM service.
llms.clarifai.Clarifai
Clarifai large language models.
llms.cloudflare_workersai.CloudflareWorkersAI
Langchain LLM class to help to access Cloudflare Workers AI service.
llms.cohere.BaseCohere
Base class for Cohere models.
llms.cohere.Cohere
Cohere large language models.
llms.ctransformers.CTransformers
C Transformers LLM models.
llms.ctranslate2.CTranslate2
CTranslate2 language model.
llms.databricks.Databricks
Databricks serving endpoint or a cluster driver proxy app for LLM.
llms.deepinfra.DeepInfra
DeepInfra models.
llms.deepsparse.DeepSparse
Neural Magic DeepSparse LLM interface.
llms.deepsparse.DeepSparse
Neural Magic DeepSparse LLM interface.
llms.edenai.EdenAI
Wrapper around edenai models.
llms.fake.FakeListLLM
Fake LLM for testing purposes.
llms.fake.FakeStreamingListLLM
Fake streaming list LLM for testing purposes.
llms.fireworks.Fireworks
Fireworks models.
llms.forefrontai.ForefrontAI
ForefrontAI large language models.
llms.gigachat.GigaChat
GigaChat large language models API.
llms.google_palm.GooglePalm
[Deprecated]  DEPRECATED: Use langchain_google_genai.GoogleGenerativeAI instead.
llms.gooseai.GooseAI
GooseAI large language models.
llms.gpt4all.GPT4All
GPT4All language models.
llms.gradient_ai.GradientLLM
Gradient.ai LLM Endpoints.
llms.gradient_ai.TrainResult
Train result.
llms.huggingface_endpoint.HuggingFaceEndpoint
HuggingFace Endpoint models.
llms.huggingface_hub.HuggingFaceHub
HuggingFaceHub  models.
llms.huggingface_pipeline.HuggingFacePipeline
HuggingFace Pipeline API.
llms.huggingface_text_gen_inference.HuggingFaceTextGenInference
HuggingFace text generation API.
llms.human.HumanInputLLM
It returns user input as the response.
llms.javelin_ai_gateway.JavelinAIGateway
Javelin AI Gateway LLMs.
llms.javelin_ai_gateway.Params
Parameters for the Javelin AI Gateway LLM.
llms.koboldai.KoboldApiLLM
Kobold API language model.
llms.llamacpp.LlamaCpp
llama.cpp model.
llms.manifest.ManifestWrapper
llama.cpp model.
llms.manifest.ManifestWrapper
HazyResearch's Manifest library.
llms.minimax.Minimax
Wrapper around Minimax large language models.
llms.minimax.MinimaxCommon
Common parameters for Minimax large language models.
llms.mlflow.Mlflow
Wrapper around completions LLMs in MLflow.
llms.mlflow.Params
Parameters for MLflow
llms.mlflow_ai_gateway.MlflowAIGateway
Wrapper around completions LLMs in the MLflow AI Gateway.
llms.mlflow_ai_gateway.Params
Parameters for the MLflow AI Gateway LLM.
llms.modal.Modal
Modal large language models.
llms.mosaicml.MosaicML
MosaicML LLM service.
llms.nlpcloud.NLPCloud
NLPCloud large language models.
llms.octoai_endpoint.OctoAIEndpoint
OctoAI LLM Endpoints.
llms.ollama.Ollama
Ollama locally runs large language models.
llms.ollama.OllamaEndpointNotFoundError
Raised when the Ollama endpoint is not found.
llms.opaqueprompts.OpaquePrompts
An LLM wrapper that uses OpaquePrompts to sanitize prompts.
llms.openai.AzureOpenAI
Azure-specific OpenAI large language models.
llms.openai.BaseOpenAI
Base OpenAI large language model class.
llms.openai.OpenAI
OpenAI large language models.
llms.openai.OpenAIChat
OpenAI Chat large language models.
llms.openllm.IdentifyingParams
Parameters for identifying a model as a typed dict.
llms.openllm.OpenLLM
OpenLLM, supporting both in-process model instance and remote OpenLLM servers.
llms.openlm.OpenLM
OpenLM models.
llms.openlm.OpenLM
OpenLM models.
llms.pai_eas_endpoint.PaiEasEndpoint
Langchain LLM class to help to access eass llm service.
llms.petals.Petals
Petals Bloom models.
llms.pipelineai.PipelineAI
PipelineAI large language models.
llms.predibase.Predibase
Use your Predibase models with Langchain.
llms.predictionguard.PredictionGuard
Prediction Guard large language models.
llms.promptlayer_openai.PromptLayerOpenAI
PromptLayer OpenAI large language models.
llms.promptlayer_openai.PromptLayerOpenAIChat
Wrapper around OpenAI large language models.
llms.replicate.Replicate
Replicate models.
llms.rwkv.RWKV
RWKV language models.
llms.sagemaker_endpoint.ContentHandlerBase()
A handler class to transform input from LLM to a format that SageMaker endpoint expects.
llms.sagemaker_endpoint.LLMContentHandler()
Content handler for LLM class.
llms.sagemaker_endpoint.LineIterator(stream)
A helper class for parsing the byte stream input.
llms.sagemaker_endpoint.SagemakerEndpoint
Sagemaker Inference Endpoint models.
llms.self_hosted.SelfHostedPipeline
Model inference on self-hosted remote hardware.
llms.self_hosted_hugging_face.SelfHostedHuggingFaceLLM
HuggingFace Pipeline API to run on self-hosted remote hardware.
llms.stochasticai.StochasticAI
StochasticAI large language models.
llms.symblai_nebula.Nebula
Nebula Service models.
llms.textgen.TextGen
text-generation-webui models.
llms.titan_takeoff.TitanTakeoff
Wrapper around Titan Takeoff APIs.