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Merge pull request #88443 from HeidiSteen/heidist-land
Azure Search: landing page redesign
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‎articles/search/index.yml

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### YamlMime:YamlDocument
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documentType: LandingData
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title: Azure Search Documentation
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### YamlMime:Landing
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title: Azure Search documentation # < 60 chars
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summary: Cloud search over private heterogenous content, with options for AI enrichment if your content is unstructured or unsearchable in raw form.
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metadata:
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document_id:
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title: Azure Search Documentation – Tutorials, quickstarts, API references
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description: Learn how to create an enterprise search solution over private, heterogenous content using Azure Search. Tutorials, API references, and other docs show you how to consolidate searchable content into a single fast index, queryable using simple-to-advanced syntax for a broad range of scenarios.
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title: Azure Search documentation
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description: Cloud search over private heterogenous content, with options for AI enrichment if your content is unstructured or unsearchable in raw form.
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services: search
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author: HeidiSteen
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manager: nitinme
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ms.service: search
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ms.topic: landing-page
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ms.date: 08/12/2019
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ms.author: heidist
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abstract:
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description: Learn how to create an enterprise search solution over private, heterogenous content using Azure Search. Tutorials, API references, and other docs show you how to consolidate searchable content into a single fast index, queryable using simple-to-advanced syntax for a broad range of scenarios. <p/><a href="/azure/search/cognitive-search-concept-intro"><b>Cognitive search</b></a> is a feature of Azure Search that attaches AI processes to indexing, detecting text and characteristics in image files, and finding patterns in large blocks of unstructured text. AI processes are backed by Cognitive Services.<p/><a href="/azure/search/knowledge-store-concept-intro"><b>Knowledge store (Preview)</b></a> extends cognitive search, saving AI enrichments to storage where you can view, reshape, and consume them in client apps or downstream processes.
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aside:
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image:
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alt:
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height: 110
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src: https://docs.microsoft.com/azure/search/media/index/search-page-callouts3.png
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width: 250
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title: What is Azure Search (1:27)
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href: https://channel9.msdn.com/Blogs/Azure/What-is-Azure-Search/player
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width: 250
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sections:
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- title: 5-Minute Quickstarts
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items:
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- type: paragraph
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text: 'Start with a Search service in the portal, then define, load, and query indexes in C# or REST.'
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- type: list
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style: icon48
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items:
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- image:
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src: /azure/search/media/index/portal.svg
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text: Azure portal
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href: https://docs.microsoft.com/azure/search/search-create-service-portal
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- image:
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src: /azure/search/media/index/logo_Csharp.svg
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text: .NET
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href: https://docs.microsoft.com/azure/search/search-create-index-dotnet
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- image:
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src: /azure/search/media/index/rest.svg
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text: REST
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href: https://docs.microsoft.com/azure/search/search-get-started-postman
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- title: Step-by-Step Tutorials
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items:
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- type: paragraph
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text: Code in .NET or REST, or try the portal for quick concept testing.
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- type: list
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style: ordered
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items:
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- html: <a href="/azure/search/search-get-started-portal">Use the portal for indexing and query testing</a>
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- html: <a href="/azure/search/search-howto-dotnet-sdk">Use .NET to write your first search solution</a>
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- html: <a href="/azure/search/cognitive-search-tutorial-blob">Enrich with AI (Cognitive Services)</a>
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- html: <a href="/azure/search/search-indexer-tutorial">Index Azure SQL Database content with .NET</a>
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- html: <a href="/azure/search/search-semi-structured-data">Index semi-structured data in Azure Blob storage with REST</a>
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- title: Reference
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items:
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- type: list
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style: cards
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className: cardsD
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items:
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- title: Languages
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html: <p><a href="/dotnet/api/?term=microsoft.azure.search">.NET</a></p><p><a href="/dotnet/api/?term=microsoft.azure.management.search">.NET (Management)</a></p><p><a href="https://docs.microsoft.com/python/api/?view=azure-python&term=search">Python (Management)</a></p>
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- title: REST
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html: <p><a href="/rest/api/searchservice">Service API Reference</a></p><p><a href="/rest/api/searchmanagement">Management API Reference</a></p>
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ms.service: service #Required; service per approved list. service slug assigned to your service by ACOM.
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ms.subservice: cognitive-search
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ms.topic: landing-page # Required
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ms.collection: collection
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author: HeidiSteen #Required; your GitHub user alias, with correct capitalization.
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ms.author: heidist #Required; microsoft alias of author; optional team alias.
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ms.date: 09/20/2019 #Required; mm/dd/yyyy format.
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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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# Cards and links should be based on top customer tasks or top subjects
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# Start card title with a verb
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# Card
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- title: About Azure Search
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linkLists:
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- linkListType: overview
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links:
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- text: What is Azure Search?
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url: search-what-is-azure-search.md
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- linkListType: architecture
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links:
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- text: How full text search works in Azure Search
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url: search-lucene-query-architecture.md
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- linkListType: video
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links:
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- text: What is Azure Search (1 min 27 sec)
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url: https://channel9.msdn.com/Blogs/Azure/What-is-Azure-Search/player
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# Card
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- title: Get started
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linkLists:
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- linkListType: quickstart
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links:
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- text: Create a service
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url: search-create-service-portal.md
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- text: Create an index
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url: search-get-started-portal.md
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- text: Create an enrichment pipeline
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url: cognitive-search-quickstart-blob.md
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- linkListType: learn
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links:
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- text: Introduction to Azure Search
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url: https://docs.microsoft.com/learn/modules/intro-to-azure-search/
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# Card
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- title: Index your data
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linkLists:
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- linkListType: concept
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links:
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- text: Defining an index
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url: search-what-is-an-index.md
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- text: Importing data
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url: search-what-is-data-import.md
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- text: Use an indexer
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url: search-indexer-overview.md
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- linkListType: how-to-guide
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links:
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- text: Index from Blob storage
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url: search-howto-indexing-azure-blob-storage.md
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- text: Index JSON blobs
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url: search-howto-index-json-blobs.md
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- text: Index from Azure SQL Database
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url: search-howto-connecting-azure-sql-database-to-azure-search-using-indexers.md
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- text: Index from Cosmos DB data
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url: search-howto-index-cosmosdb.md
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- linkListType: reference
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links:
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- text: Create Index (REST)
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url: https://docs.microsoft.com/rest/api/searchservice/create-index
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- text: Create Indexer (REST)
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url: https://docs.microsoft.com/rest/api/searchservice/create-indexer
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# Card
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- title: Enrich your data
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linkLists:
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- linkListType: concept
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links:
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- text: What is cognitive search?
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url: cognitive-search-concept-intro.md
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- text: Skillsets
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url: cognitive-search-defining-skillset.md
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- text: Knowledge stores
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url: knowledge-store-concept-intro.md
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- text: Projections
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url: knowledge-store-projection-overview.md
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- linkListType: how-to-guide
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links:
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- text: Attach Cognitive Services
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url: cognitive-search-attach-cognitive-services.md
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- text: Define a skillset
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url: cognitive-search-defining-skillset.md
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- text: Create a knowledge store
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url: knowledge-store-create-portal.md
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- linkListType: reference
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links:
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- text: Predefined skills
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url: cognitive-search-predefined-skills.md
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# Card
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- title: Query your data
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linkLists:
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- linkListType: concept
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links:
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- text: Overview
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url: search-query-overview.md
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- text: Simple syntax (default)
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url: query-simple-syntax.md
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- text: Full Lucene syntax
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url: query-lucene-syntax.md
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- linkListType: how-to-guide
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links:
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- text: Create a simple query
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url: search-query-simple-examples.md
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- text: Use full syntax
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url: search-query-lucene-examples.md
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- linkListType: reference
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links:
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- text: OData language reference
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url: query-odata-filter-orderby-syntax.md
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- text: Search Documents (REST)
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url: https://docs.microsoft.com/rest/api/searchservice/search-documents
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# Card
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- title: Help and feedback
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linkLists:
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- linkListType: reference
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links:
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- text: FAQ
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url: search-faq-frequently-asked-questions.md
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- text: Ask questions on Stack Overflow
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url: https://stackoverflow.com/questions/tagged/azure-search
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- text: Request a feature
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url: https://feedback.azure.com/forums/263029-azure-search

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