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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"%pip install -qU langchain-airbyte"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import getpass\n",
"\n",
"GITHUB_TOKEN = getpass.getpass()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"from langchain_airbyte import AirbyteLoader\n",
"from langchain_core.prompts import PromptTemplate\n",
"\n",
"loader = AirbyteLoader(\n",
" source=\"source-github\",\n",
" stream=\"pull_requests\",\n",
" config={\n",
" \"credentials\": {\"personal_access_token\": GITHUB_TOKEN},\n",
" \"repositories\": [\"langchain-ai/langchain\"],\n",
" },\n",
" template=PromptTemplate.from_template(\n",
" \"\"\"# {title}\n",
"by {user[login]}\n",
"\n",
"{body}\"\"\"\n",
" ),\n",
" include_metadata=False,\n",
")\n",
"docs = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"# Updated partners/ibm README\n",
"by williamdevena\n",
"\n",
"## PR title\n",
"partners: changed the README file for the IBM Watson AI integration in the libs/partners/ibm folder.\n",
"\n",
"## PR message\n",
"Description: Changed the README file of partners/ibm following the docs on https://python.langchain.com/docs/integrations/llms/ibm_watsonx\n",
"\n",
"The README includes:\n",
"\n",
"- Brief description\n",
"- Installation\n",
"- Setting-up instructions (API key, project id, ...)\n",
"- Basic usage:\n",
" - Loading the model\n",
" - Direct inference\n",
" - Chain invoking\n",
" - Streaming the model output\n",
" \n",
"Issue: https://github.com/langchain-ai/langchain/issues/17545\n",
"\n",
"Dependencies: None\n",
"\n",
"Twitter handle: None\n"
]
}
],
"source": [
"print(docs[-2].page_content)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10283"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(docs)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"import tiktoken\n",
"from langchain_community.vectorstores import Chroma\n",
"from langchain_openai import OpenAIEmbeddings\n",
"\n",
"enc = tiktoken.get_encoding(\"cl100k_base\")\n",
"\n",
"vectorstore = Chroma.from_documents(\n",
" docs,\n",
" embedding=OpenAIEmbeddings(\n",
" disallowed_special=(enc.special_tokens_set - {\"<|endofprompt|>\"})\n",
" ),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"retriever = vectorstore.as_retriever()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='# Updated partners/ibm README\\nby williamdevena\\n\\n## PR title\\r\\npartners: changed the README file for the IBM Watson AI integration in the libs/partners/ibm folder.\\r\\n\\r\\n## PR message\\r\\nDescription: Changed the README file of partners/ibm following the docs on https://python.langchain.com/docs/integrations/llms/ibm_watsonx\\r\\n\\r\\nThe README includes:\\r\\n\\r\\n- Brief description\\r\\n- Installation\\r\\n- Setting-up instructions (API key, project id, ...)\\r\\n- Basic usage:\\r\\n - Loading the model\\r\\n - Direct inference\\r\\n - Chain invoking\\r\\n - Streaming the model output\\r\\n \\r\\nIssue: https://github.com/langchain-ai/langchain/issues/17545\\r\\n\\r\\nDependencies: None\\r\\n\\r\\nTwitter handle: None'),\n",
" Document(page_content='# Updated partners/ibm README\\nby williamdevena\\n\\n## PR title\\r\\npartners: changed the README file for the IBM Watson AI integration in the `libs/partners/ibm` folder. \\r\\n\\r\\n\\r\\n\\r\\n## PR message\\r\\n- **Description:** Changed the README file of partners/ibm following the docs on https://python.langchain.com/docs/integrations/llms/ibm_watsonx\\r\\n\\r\\n The README includes:\\r\\n - Brief description\\r\\n - Installation\\r\\n - Setting-up instructions (API key, project id, ...)\\r\\n - Basic usage:\\r\\n - Loading the model\\r\\n - Direct inference\\r\\n - Chain invoking\\r\\n - Streaming the model output\\r\\n\\r\\n\\r\\n- **Issue:** #17545\\r\\n- **Dependencies:** None\\r\\n- **Twitter handle:** None'),\n",
" Document(page_content='# IBM: added partners package `langchain_ibm`, added llm\\nby MateuszOssGit\\n\\n - **Description:** Added `langchain_ibm` as an langchain partners package of IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai) LLM provider (`WatsonxLLM`)\\r\\n - **Dependencies:** [ibm-watsonx-ai](https://pypi.org/project/ibm-watsonx-ai/),\\r\\n - **Tag maintainer:** : \\r\\n\\r\\nPlease make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. ✅'),\n",
" Document(page_content='# Add WatsonX support\\nby baptistebignaud\\n\\nIt is a connector to use a LLM from WatsonX.\\r\\nIt requires python SDK \"ibm-generative-ai\"\\r\\n\\r\\n(It might not be perfect since it is my first PR on a public repository 😄)')]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"retriever.invoke(\"pull requests related to IBM\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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