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Azure AI Search documentation

Information retrieval at scale for vector and text content in traditional or generative search scenarios.

About Azure AI Search

Concept

  • What is Azure AI Search?
  • AI enrichment

Quickstart

  • Create a search service
  • Create a search index

RAG and vectors

Concept

  • Vectors in Azure AI Search
  • Built-in vectorization
  • Built-in compression
  • Retrieval Augmented Generation (RAG)

Quickstart

  • Retrieve data using an LLM
  • Create a vector index
  • Query a vector index

sample

  • Vector samples

Azure AI Foundry

How-To Guide

  • Create a vector index in Azure AI Foundry portal
  • Build a question and answer copilot

Index data

Concept

  • What's a search index?
  • Importing data
  • Indexer overview

How-To Guide

  • Index from Azure Blob Storage
  • Index from Azure SQL Database
  • Index from Azure Cosmos DB
  • Index any data

Develop apps

Tutorial

  • Add search to web apps

How-To Guide

  • Develop in .NET
  • Develop in REST

Reference

  • Azure REST API Reference
  • Azure SDK for .NET
  • Azure SDK for Python
  • Azure SDK for Java
  • Azure SDK for JavaScript

Query data

Concept

  • Query types and composition
  • Create a simple query
  • Create advanced queries

Reference

  • Simple syntax (default)
  • OData language reference
  • Search Documents (REST)
English (United States)
Your Privacy Choices
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  • Privacy
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  • © Microsoft 2025
English (United States)
Your Privacy Choices
  • SH ICP Filing No. 13015306-25
  • PSB Filing No. 31011502002224
  • Privacy
  • Microsoft Azure Operated by 21Vianet
  • © Microsoft 2025