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{
"cells": [
{
"cell_type": "markdown",
"id": "1edb9e6b",
"metadata": {},
"source": [
"# Azure Cognitive Search Retriever\n",
"\n",
"This notebook shows how to use Azure Cognitive Search (ACS) within LangChain."
]
},
{
"cell_type": "markdown",
"id": "074b0004",
"metadata": {},
"source": [
"## Set up Azure Cognitive Search\n",
"\n",
"To set up ACS, please follow the instrcutions [here](https://learn.microsoft.com/en-us/azure/search/search-create-service-portal).\n",
"\n",
"Please note\n",
"1. the name of your ACS service, \n",
"2. the name of your ACS index,\n",
"3. your API key.\n",
"\n",
"Your API key can be either Admin or Query key, but as we only read data it is recommended to use a Query key."
]
},
{
"cell_type": "markdown",
"id": "0474661d",
"metadata": {},
"source": [
"## Using the Azure Cognitive Search Retriever"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "39d6074e",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"from langchain.retrievers import AzureCognitiveSearchRetriever"
]
},
{
"cell_type": "markdown",
"id": "b7243e6d",
"metadata": {},
"source": [
"Set Service Name, Index Name and API key as environment variables (alternatively, you can pass them as arguments to `AzureCognitiveSearchRetriever`)."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "33fd23d1",
"metadata": {},
"outputs": [],
"source": [
"os.environ[\"AZURE_COGNITIVE_SEARCH_SERVICE_NAME\"] = \"<YOUR_ACS_SERVICE_NAME>\"\n",
"os.environ[\"AZURE_COGNITIVE_SEARCH_INDEX_NAME\"] =\"<YOUR_ACS_INDEX_NAME>\"\n",
"os.environ[\"AZURE_COGNITIVE_SEARCH_API_KEY\"] = \"<YOUR_API_KEY>\""
]
},
{
"cell_type": "markdown",
"id": "057deaad",
"metadata": {},
"source": [
"Create the Retriever"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c18d0c4c",
"metadata": {},
"outputs": [],
"source": [
"retriever = AzureCognitiveSearchRetriever(content_key=\"content\")"
]
},
{
"cell_type": "markdown",
"id": "e94ea104",
"metadata": {},
"source": [
"Now you can use retrieve documents from Azure Cognitive Search"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c8b5794b",
"metadata": {},
"outputs": [],
"source": [
"retriever.get_relevant_documents(\"what is langchain\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.11.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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