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Copy file name to clipboardExpand all lines: articles/search/knowledge-store-create-portal.md
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+ An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/).
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+ An Azure AI Search service. [Create a service](search-create-service-portal.md) or [find an existing service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) in your account. For this quickstart, you can use a free service.
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+ An Azure AI Search service. [Create a service](search-create-service-portal.md) or [find an existing service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) in your current subscription. For this quickstart, you can use a free service.
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+ An Azure Storage account. [Create an account](/azure/storage/common/storage-account-create) or [find an existing account](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Storage%2storageAccounts/). The account type must be **StorageV2 (general purpose V2)**.
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+ Sample data hosted in Azure Storage:
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+[Download HotelReviews_Free.csv](https://github.com/Azure-Samples/azure-search-sample-data/blob/main/hotelreviews/HotelReviews_data.csv). This CSV contains 19 pieces of customer feedback about a single hotel (originates from Kaggle.com). The file is in a repo with other sample data. If you don't want the whole repo, copy the raw content and paste it into a spreadsheet app on your device.
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+[Download HotelReviews_Free.csv](https://github.com/Azure-Samples/azure-search-sample-data/blob/main/hotelreviews/HotelReviews_data.csv), which contains 19 pieces of customer feedback about a single hotel (originates from Kaggle.com). This CSV is in a repo with other sample data. If you don't want the whole repo, copy the raw content and paste it into a spreadsheet app on your device.
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+[Upload the file to a blob container](/azure/storage/blobs/storage-quickstart-blobs-portal) in Azure Storage.
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## Next step
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Now that you've been introduced to a knowledge store, take a closer look at each step by switching over to the REST API walkthrough. Tasks that the wizard handled internally are explained in the REST walkthrough.
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Now that you've been introduced to a knowledge store, take a closer look at each step by completing the REST API walkthrough. The walkthrough explains tasks that the wizard handled internally.
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> [!div class="nextstepaction"]
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> [Create a knowledge store using REST](knowledge-store-create-rest.md)
Copy file name to clipboardExpand all lines: articles/search/search-create-app-portal.md
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---
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title: "Quickstart: Create a Demo Search App in the Azure Portal"
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title: "Quickstart: Create a Demo App in the Azure Portal"
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titleSuffix: Azure AI Search
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description: Run the Create demo app wizard to generate HTML pages and script for an operational web app. The page includes a search bar, results area, sidebar, and typeahead support.
Copy file name to clipboardExpand all lines: articles/search/search-explorer.md
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This quickstart uses an existing index to demonstrate Search explorer.
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> [!TIP]
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> Search explorer now supports image search. To learn more, see[Quickstart: Image search in the Azure portal](search-get-started-portal-image-search.md).
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> Search explorer now supports image search. To learn more, see[Quickstart: Image search in the Azure portal](search-get-started-portal-image-search.md).
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## Prerequisites
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+ An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/).
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+ An Azure AI Search service. [Create a service](search-create-service-portal.md) or [find an existing service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) in your current subscription. For this quickstart, you can use a free servic.
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+ An Azure AI Search service. [Create a service](search-create-service-portal.md) or [find an existing service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) in your current subscription. For this quickstart, you can use a free service.
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+ This quickstart uses the realestate-us-sample index. To create the index, run the [**Import data wizard**](search-import-data-portal.md), select the built-in sample data, and step through the wizard using all the default values.
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+ JSON view supports parameterized queries. Filters, orderby, select, count, searchFields, and all other parameters must be set in JSON view.
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> [!TIP]
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> JSON view provides intellisense for parameter name completion. Place the cursor inside the JSON view and type a space character to show a list of all query parameters, or type a single letter like "s" to show just the query parameters starting with "s". Intellisense doesn't exclude invalid parameters so use your best judgment.
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> JSON view provides intellisense for parameter name completion. Place your cursor inside the JSON view and type a space character to see a list of all query parameters. You can also type a letter, like "s," to see only the query parameters that begin with that letter. Intellisense doesn't exclude invalid parameters, so use your best judgment.
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Switch to **JSON view** for parameterized queries. The examples in this article assume JSON view throughout. You can paste JSON examples from this article into the text area.
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+ Search results are composed of all fields marked as "retrievable" in the index. Select the adjacent **Fields** tab to review attributes.
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+ Keyword search, similar to what you might enter in a commercial web browser, are useful for testing an end-user experience. For example, assuming the built-in real estate sample index, you could enter "Seattle apartments lake washington", and then you can use Ctrl-F to find terms within the search results.
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+ Keyword search, similar to what you might enter in a commercial web browser, are useful for testing an end-user experience. For example, assuming the built-in real estate sample index, you could enter "Seattle apartments lake washington," and then you can use Ctrl-F to find terms within the search results.
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+ Query and filter expressions are articulated in a syntax implemented by Azure AI Search. The default is a [simple syntax](/rest/api/searchservice/simple-query-syntax-in-azure-search), but you can optionally use [full Lucene](/rest/api/searchservice/lucene-query-syntax-in-azure-search) for more powerful queries. [Filter expressions](/rest/api/searchservice/odata-expression-syntax-for-azure-search) are articulated in an OData syntax.
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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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> [Create a basic query in REST](search-get-started-rest.md)
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> [Quickstart: Create a basic query in REST](search-get-started-rest.md)
Copy file name to clipboardExpand all lines: articles/search/search-get-started-arm.md
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:::image type="content" source="~/reusable-content/ce-skilling/azure/media/template-deployments/deploy-to-azure-button.svg" alt-text="Button to deploy the Resource Manager template to Azure." border="false" link="https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fazure%2Fazure-quickstart-templates%2Fmaster%2Fquickstarts%2Fmicrosoft.search%2Fazure-search-create%2Fazuredeploy.json":::
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the Azure portal displays a form that allows you to easily provide parameter values. Some parameters are pre-filled with the default values from the template. You will need to provide your subscription, resource group, location, and service name. If you want to use Azure AI services in an [AI enrichment](cognitive-search-concept-intro.md) pipeline, for example to analyze binary image files for text, choose a location that offers both Azure AI Search and Azure AI services. Both services are required to be in the same region for AI enrichment workloads. Once you have completed the form, you will need to agree to the terms and conditions and then select the purchase button to complete your deployment.
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The Azure portal displays a form that allows you to easily provide parameter values. Some parameters are prefilled with the default values from the template. Provide your subscription, resource group, location, and service name. If you want to use Azure AI services in an [AI enrichment](cognitive-search-concept-intro.md) pipeline, for example to analyze binary image files for text, choose a location that offers both Azure AI Search and Azure AI services. Both services are required to be in the same region for AI enrichment workloads. After you complete the form, agree to the terms and conditions and then select the purchase button to complete your deployment.
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> [!div class="mx-imgBorder"]
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> 
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## Review deployed resources
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When your deployment is complete you can access your new resource group and new search service in the Azure portal.
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When your deployment is complete, you can access your new resource group and new search service in the Azure portal.
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title: "Quickstart: Vectorize Text and Images in the Azure Portal"
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title: "Quickstart: Vectorize Content in the Azure Portal"
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titleSuffix: Azure AI Search
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description: Learn how to use a wizard to automate data chunking and vectorization in a search index.
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author: haileytap
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1. If you're using [native soft delete](search-howto-index-changed-deleted-blobs.md#native-blob-soft-delete), no further steps are required on Azure Storage.
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1. Otherwise, [add custom metadata](search-howto-index-changed-deleted-blobs.md#soft-delete-strategy-using-custom-metadata) that an indexer can scan to determine which blobs are marked for deletion. Give your custom property a descriptive name. For example, you could name the property "IsDeleted", set to false. Do this for every blob in the container. Later, when you want to delete the blob, change the property to true. For more information, see [Change and delete detection when indexing from Azure Storage](search-howto-index-changed-deleted-blobs.md)
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1. Otherwise, [add custom metadata](search-howto-index-changed-deleted-blobs.md#soft-delete-strategy-using-custom-metadata) that an indexer can scan to determine which blobs are marked for deletion. Give your custom property a descriptive name. For example, you could name the property "IsDeleted", set to false. Do this for every blob in the container. Later, when you want to delete the blob, change the property to true. For more information, see [Change and delete detection when indexing from Azure Storage](search-howto-index-changed-deleted-blobs.md).
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title: "Quickstart: Create a Search Index in the Azure Portal"
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title: "Quickstart: Create an Index in the Azure Portal"
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titleSuffix: Azure AI Search
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description: Learn how to create, load, and query your first search index using the Import Data wizard in the Azure portal. This quickstart uses a fictitious hotel dataset for sample data.
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manager: nitinme
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Try an Azure portal wizard to generate a ready-to-use web app that runs in a browser. Use this wizard on the small index you created in this quickstart, or use one of the built-in sample datasets for a richer search experience.
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> [!div class="nextstepaction"]
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> [Create a demo app in the Azure portal](search-create-app-portal.md)
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> [Quickstart: Create a demo search app in the Azure portal](search-create-app-portal.md)
Copy file name to clipboardExpand all lines: articles/search/search-get-started-rbac.md
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ms.date: 03/04/2025
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# Quickstart: Connect to Azure AI Search without keys
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# Quickstart: Connect without keys
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In this quickstart, you configure Azure AI Search to use Microsoft Entra ID authentication and role-based access control (RBAC) to connect from your local system without API keys. You then use Jupyter notebooks or a REST client to interact with your search service.
Copy file name to clipboardExpand all lines: articles/search/search-get-started-semantic.md
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You can find and manage resources in the Azure portal, using the **All resources** or **Resource groups** link in the left-navigation pane.
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## Next steps
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## Next step
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In this quickstart, you learned how to invoke semantic ranking on an existing index. We recommend trying semantic ranking on your own indexes as a next step. However, if you want to continue with demos, visit the following link.
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In this quickstart, you learned how to invoke semantic ranking on an existing index. We recommend trying semantic ranking on your own indexes as a next step. However, if you want to continue with demos, try the following tutorial:
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> [!div class="nextstepaction"]
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> [Tutorial: Add search to web apps](tutorial-csharp-overview.md)
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