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agentic-retrieval.rest
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readme.md
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page_type sample
languages
rest
name Quickstart: Agentic retrieval in Azure AI Search using REST APIs
description Learn how to create a knowledge base that retrieves content from an Azure AI Search index and uses an LLM from Azure OpenAI in Foundry Models to generate answers.
products
azure
azure-cognitive-search
urlFragment rest-api-agentic-retrieval-quickstart

Quickstart: Agentic retrieval in Azure AI Search using REST APIs

Flask sample MIT license badge

This sample demonstrates the fundamentals of agentic retrieval using Azure AI Search. You create a search index, a knowledge source that targets the index, and a knowledge base that integrates an LLM for query planning and answer synthesis.

What's in this sample

File Description
agentic-retrieval.rest REST file containing requests to create objects for agentic retrieval and run queries

Documentation

This sample accompanies Quickstart: Agentic retrieval using REST. Follow the documentation for prerequisites, setup instructions, and detailed explanations.

Next step

You can learn more about Azure AI Search on the official documentation site.