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
• Semantic reranking

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
• Chat with your data using Azure OpenAI
• Build a custom RAG app using Azure AI Foundry SDK

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)