Azure AI Search documentation

Information retrieval at scale for traditional and conversational search applications, with security and options for AI enrichment and vectorization.

About AI Search

Overview

• What is Azure AI Search?
• Vector search
• Integrated vectorization (preview)
• Retrieval Augmented Generation (RAG)
• Semantic ranking

Training

• Learning module

10-minute quickstarts

Quickstart

• Create a search service
• Create a search index
• Create a vector index
• Create a demo app
• Create a skillset

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

Index data

Overview

• 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

Query data

Concept

• Query types and composition
• Query vector data
• Simple syntax (default)
• Full Lucene syntax

How-To Guide

• Create a simple query
• Create advanced queries

Reference

• OData language reference
• Search Documents (REST)

Enrich with AI

Concept

• What is AI enrichment?
• Skillsets
• Knowledge stores