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Merge pull request #4766 from HeidiSteen/heidist-build-2
Index page and data gallery, take 1
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articles/search/index.yml

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### YamlMime:Landing
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title: Azure AI Search documentation # < 60 chars
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summary: Information retrieval at scale for vector and text content in traditional or generative search scenarios.
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summary: Information retrieval at scale for agentic RAG, with vector and text content in traditional or generative search scenarios.
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metadata:
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title: Azure AI Search documentation
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description: Information retrieval at scale for vector and text content in traditional or generative search scenarios.
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description: Information retrieval at scale for agentic RAG, with vector and text content in traditional or generative search scenarios.
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ms.service: azure-ai-search
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ms.custom:
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- ignite-2023
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- ignite-2024
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ms.topic: landing-page
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author: HeidiSteen
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ms.author: heidist
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ms.date: 02/024/2025
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ms.date: 05/12/2025
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# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
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landingContent:
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links:
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- text: What is Azure AI Search?
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url: search-what-is-azure-search.md
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- text: Agentic retrieval
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- text: Agentic RAG
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url: search-agentic-retrieval-concept.md
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- text: Semantic reranking
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- text: Semantic ranking
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url: semantic-search-overview.md
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- linkListType: quickstart
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links:
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url: tutorial-optimize-indexing-push-api.md
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# Card
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- title: Develop apps
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- title: Code
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linkLists:
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- linkListType: tutorial
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- linkListType: get-started
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links:
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- text: Add search to web apps
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url: tutorial-csharp-overview.md
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- linkListType: how-to-guide
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links:
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- text: Develop in .NET
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url: search-howto-dotnet-sdk.md
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- text: Develop in REST
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url: search-get-started-rest.md
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- text: Python samples
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url: samples-python.md
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- text: .NET samples
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url: samples-dotnet.md
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- text: Vector samples
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url: https://github.com/Azure/azure-search-vector-samples
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- linkListType: reference
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- text: Azure REST API Reference

articles/search/search-data-sources-gallery.md

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ms.custom:
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- ignite-2023
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ms.topic: conceptual
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ms.date: 04/14/2025
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ms.date: 05/12/2025
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---
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# Data sources gallery
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## Logic app connectors (preview)
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Pull in content [using logic app workflows](search-how-to-index-logic-apps-indexers.md) and the following supported data sources.
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:::row:::
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:::column span="":::
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---
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### SharePoint
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By [Logic Apps](/azure/logic-apps/logic-apps-overview)
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SharePoint helps organizations share and collaborate with colleagues, partners, and customers. You can connect to SharePoint Online or to an on-premises SharePoint 2016 or 2019 farm using the On-Premises Data Gateway to manage documents and list items.
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[More details](search-how-to-index-logic-apps-indexers.md#supported-connectors)
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:::column-end:::
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:::column span="":::
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---
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### OneDrive
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By [Logic Apps](/azure/logic-apps/logic-apps-overview)
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Connect to OneDrive to manage your files. You can perform various actions such as upload, update, get, and delete on files in OneDrive.
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[More details](search-how-to-index-logic-apps-indexers.md#supported-connectors)
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:::column-end:::
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:::column span="":::
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---
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### OneDrive for Business
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By [Logic Apps](/azure/logic-apps/logic-apps-overview)
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OneDrive for Business is a cloud storage, file hosting service that allows users to sync files and later access them from a web browser or mobile device. Connect to OneDrive for Business to manage your files. You can perform various actions such as upload, update, get, and delete files.
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[More details](search-how-to-index-logic-apps-indexers.md#supported-connectors)
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:::column-end:::
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:::column span="":::
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---
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:::column-end:::
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:::row-end:::
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:::column span="":::
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:::column-end:::
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:::column-end:::
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:::row-end:::
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<a name="preview"></a>
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## Preview data sources by Azure AI Search

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