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articles/search/.openpublishing.redirection.search.json

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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/search/search-get-started-rest.md",
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"source_path_from_root": "/articles/search/search-get-started-text.md",
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"redirect_url": "/azure/search/search-get-started-text",
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"redirect_document_id": false
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},

articles/search/cognitive-search-tutorial-blob.md

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## Set up your REST file
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1. Start Visual Studio Code and open the [skillset-tutorial.rest](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) file. See [Quickstart: Text search using REST](search-get-started-rest.md) if you need help with the REST client.
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1. Start Visual Studio Code and open the [skillset-tutorial.rest](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) file. See [Quickstart: Full-text search](search-get-started-text.md) if you need help with the REST client.
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1. Provide values for the variables: search service endpoint, search service admin API key, an index name, a connection string to your Azure Storage account, and the blob container name.
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articles/search/knowledge-store-create-rest.md

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## Prerequisites
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+ [Visual Studio Code](https://code.visualstudio.com/download) with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client). If you need help with getting started, see [Quickstart: Text search using REST](search-get-started-rest.md).
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+ [Visual Studio Code](https://code.visualstudio.com/download) with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client). If you need help with getting started, see [Quickstart: Full-text search using REST](search-get-started-text.md).
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+ Azure AI Search. [Create a service](search-create-service-portal.md) or [find an existing one](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices). You can use the free service for this exercise.
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articles/search/samples-rest.md

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REST is the definitive programming interface for Azure AI Search. All operations that can be invoked programmatically are available first in REST and then in SDKs. For this reason, most examples in the documentation use the REST APIs to demonstrate or explain important concepts.
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You can use any client that supports HTTP calls. To learn how to formulate the HTTP request using Visual Studio Code with a REST client, see [Quickstart: Keyword search using REST](search-get-started-rest.md).
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You can use any client that supports HTTP calls. To learn how to formulate the HTTP request using Visual Studio Code with a REST client, see [Quickstart: Full-text search using REST](search-get-started-text.md).
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## Doc samples
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Code samples from the Azure AI Search team demonstrate features and workflows. Many of these samples are referenced in tutorials, quickstarts, and how-to articles. You can find these samples in [**Azure-Samples/azure-search-rest-samples**](https://github.com/Azure-Samples/azure-search-rest-samples) on GitHub.
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| Samples | Description |
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|---------|---------|
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| [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for [Quickstart: Text search using REST](search-get-started-rest.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
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| [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for the REST portion of [Quickstart: Full-text search](search-get-started-text.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
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| [quickstart-vectors](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample covers the basic workflow for indexing and querying vector data. |
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| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-agentic-retrieval) | Source code for the REST portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). This sample shows you how to create a knowledge agent in Azure AI Search to integrate LLM reasoning into query planning. |
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| [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: Use REST and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob.md). This sample shows you how to create a skillset that iterates over Azure blobs to extract information and infer structure.|

articles/search/search-api-migration.md

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1. Update the `api-version` parameter, specified in the request header, to a newer version.
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In your application code that makes direct calls to the REST APIs, search for all instances of the existing version and then replace it with the new version. For more information about structuring a REST call, see [Quickstart: using REST](search-get-started-rest.md#set-up-visual-studio-code).
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In your application code that makes direct calls to the REST APIs, search for all instances of the existing version and then replace it with the new version. For more information about structuring a REST call, see [Quickstart: Full-text search using REST](search-get-started-text.md).
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If you're using an Azure SDK, those packages target specific versions of the REST API. Package updates might coincide with a REST API update, but each SDK is on its own release schedule that ships independently of Azure AI Search REST API versions. Check the change log of your SDK package to determine whether a package release targets the latest REST API version.
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articles/search/search-api-preview.md

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## See also
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+ [Quickstart: REST APIs](search-get-started-rest.md)
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+ [Quickstart: Full-text search using REST APIs](search-get-started-text.md)
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+ [Search REST API overview](/rest/api/searchservice/)
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+ [Search REST API versions](/rest/api/searchservice/search-service-api-versions)
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+ [Manage using the REST APIs](search-manage-rest.md)

articles/search/search-blob-storage-integration.md

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1. Use [Search explorer](search-explorer.md) in the search portal page to query your content.
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The wizard is the best place to start, but you'll discover more flexible options when you [configure a blob indexer](search-howto-indexing-azure-blob-storage.md) yourself. You can use a [REST client](search-get-started-rest.md). [Tutorial: Index and search semi-structured data (JSON blobs)](search-semi-structured-data.md) walks you through the steps of calling the REST API.
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The wizard is the best place to start, but you'll discover more flexible options when you [configure a blob indexer](search-howto-indexing-azure-blob-storage.md) yourself. You can use a [REST client](search-get-started-text.md). [Tutorial: Index and search semi-structured data (JSON blobs)](search-semi-structured-data.md) walks you through the steps of calling the REST API.
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## How blobs are indexed
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articles/search/search-explorer.md

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To learn more about query structures and syntax, use a REST client to create query expressions that use more parts of the API. The [Search POST REST API](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-05-01-preview&preserve-view=true) is especially helpful for learning and exploration.
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> [!div class="nextstepaction"]
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> [Quickstart: Create a basic query in REST](search-get-started-rest.md)
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> [Quickstart: Full-text search using REST](search-get-started-text.md)

articles/search/search-file-storage-integration.md

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+ Read permissions on Azure Storage. A "full access" connection string includes a key that grants access to the content.
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+ Use a [REST client](search-get-started-rest.md) to formulate REST calls similar to the ones shown in this article.
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+ Use a [REST client](search-get-started-text.md) to formulate REST calls similar to the ones shown in this article.
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## Supported tasks
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articles/search/search-how-to-create-indexers.md

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Parameters are used to set the batch size and how to handle processing failures. The [execution environment](search-howto-run-reset-indexers.md#indexer-execution-environment) determines whether indexer and skillset processing can use the multitenant capabilities provided by Microsoft or the private processing nodes allocated exclusively to your search service. If your search service is Standard2 or higher, you can set `executionEnvironment` to private to pin all indexer processing to just your search service clusters.
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There are numerous tutorials and examples that demonstrate REST clients for creating objects. [Quickstart: Text search using REST](search-get-started-rest.md) can get you started.
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There are numerous tutorials and examples that demonstrate REST clients for creating objects. [Quickstart: Full-text search using REST](search-get-started-text.md) can get you started.
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### [**.NET SDK**](#tab/indexer-csharp)
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