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

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## 2 - Set up Postman
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1. Start Postman, import the collection, and set up the environment variables. If you're unfamiliar with this tool, see [Quickstart: Text search with REST](search-get-started-rest.md).
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1. Start Postman, import the collection, and set up the environment variables. If you're unfamiliar with this tool, see [Quickstart: Text search using REST](search-get-started-rest.md).
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1. You'll need to provide a search service name, an admin API key, an index name, a connection string to your Azure Storage account, and the container name.
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articles/search/tutorial-create-custom-analyzer.md

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:::image type="content" source="media/search-get-started-rest/postman-url.png" alt-text="Postman request URL and header" border="false":::
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If you're unfamiliar with Postman, see [Explore Azure AI Search REST APIs](search-get-started-rest.md).
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If you're unfamiliar with Postman, see [Quickstart: Text search using REST](search-get-started-rest.md).
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## 3 - Create an initial index
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articles/search/vector-search-how-to-query.md

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+ [A vector store on Azure AI Search](vector-search-how-to-create-index.md).
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+ Visual Studio Code with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) and sample data if you want to run these examples on your own. See [Quickstart: Azure AI Search using REST](search-get-started-rest.md) for help with getting started.
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+ Visual Studio Code with a [REST client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) and sample data if you want to run these examples on your own. See [Quickstart: Text search using REST](search-get-started-rest.md) for help with getting started.
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> [!TIP]
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> To quickly determine whether your index has vectors, look for fields of type `Collection(Edm.Single)`, with a `dimensions` attribute, and a `vectorSearchProfile` assignment.

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