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index.yml
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### YamlMime:Landing
title: Azure AI Search documentation # < 60 chars
summary: Information retrieval at scale for vector and text content in traditional or generative search scenarios.
metadata:
title: Azure AI Search documentation
description: Information retrieval at scale for vector and text content in traditional or generative search scenarios.
ms.service: service
ms.custom:
- ignite-2023
ms.topic: landing-page
author: HeidiSteen
ms.author: heidist
ms.date: 02/08/2024
# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
landingContent:
# Cards and links should be based on top customer tasks or top subjects
# Start card title with a verb
# Card
- title: About Azure AI Search
linkLists:
- linkListType: concept
links:
- text: What is Azure AI Search?
url: search-what-is-azure-search.md
- text: AI enrichment
url: cognitive-search-concept-intro.md
- text: Semantic reranking
url: semantic-search-overview.md
- linkListType: quickstart
links:
- text: Create a search service
url: search-create-service-portal.md
- text: Create a search index
url: search-get-started-portal.md
# Card
- title: Vector support
linkLists:
- linkListType: concept
links:
- text: Vectors in Azure AI Search
url: vector-search-overview.md
- text: Built-in vectorization (preview)
url: vector-search-integrated-vectorization.md
- text: Built-in scalar quantization (preview)
url: vector-search-how-to-configure-compression-storage.md
- text: Retrieval Augmented Generation (RAG)
url: retrieval-augmented-generation-overview.md
- linkListType: quickstart
links:
- text: Create a vector index
url: search-get-started-vector.md
- text: Chat with your data
url: search-get-started-retrieval-augmented-generation.md
- text: Query a vector index
url: vector-search-how-to-query.md
- linkListType: sample
links:
- text: Vector samples
url: https://github.com/Azure/azure-search-vector-samples/blob/main/README.md
# Card
- title: Azure AI Studio
linkLists:
- linkListType: how-to-guide
links:
- text: Create a vector index in AI Studio
url: /azure/ai-studio/how-to/index-add
- text: Build a question and answer copilot
url: /azure/ai-studio/tutorials/deploy-copilot-ai-studio
# Card
- title: Index data
linkLists:
- linkListType: concept
links:
- text: What's a search index?
url: search-what-is-an-index.md
- text: Importing data
url: search-what-is-data-import.md
- text: Indexer overview
url: search-indexer-overview.md
- linkListType: how-to-guide
links:
- text: Index from Azure Blob Storage
url: search-blob-storage-integration.md
- text: Index from Azure SQL Database
url: search-howto-connecting-azure-sql-database-to-azure-search-using-indexers.md
- text: Index from Azure Cosmos DB
url: search-howto-index-cosmosdb.md
- text: Index any data
url: tutorial-optimize-indexing-push-api.md
# Card
- title: Develop apps
linkLists:
- linkListType: tutorial
links:
- text: Add search to web apps
url: tutorial-csharp-overview.md
- linkListType: how-to-guide
links:
- text: Develop in .NET
url: search-howto-dotnet-sdk.md
- text: Develop in REST
url: search-get-started-rest.md
- linkListType: reference
links:
- text: Azure REST API Reference
url: /rest/api/searchservice/
- text: Azure SDK for .NET
url: /dotnet/api/overview/azure/search.documents-readme
- text: Azure SDK for Python
url: /python/api/overview/azure/search-documents-readme
- text: Azure SDK for Java
url: /java/api/overview/azure/search-documents-readme
- text: Azure SDK for JavaScript
url: /javascript/api/overview/azure/search-documents-readme
# Card
- title: Query data
linkLists:
- linkListType: concept
links:
- text: Query types and composition
url: search-query-overview.md
- text: Create a simple query
url: search-query-create.md
- text: Create advanced queries
url: search-query-lucene-examples.md
- linkListType: reference
links:
- text: Simple syntax (default)
url: query-simple-syntax.md
- text: OData language reference
url: query-odata-filter-orderby-syntax.md
- text: Search Documents (REST)
url: /rest/api/searchservice/search-documents