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articles/search/search-get-started-vector.md

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title: Quickstart vector search
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title: 'Quickstart: Use the Search REST APIs for Vector Search'
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titleSuffix: Azure AI Search
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description: In this quickstart, learn how to call the Azure AI Search REST APIs for vector workloads.
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description: In this quickstart, you learn how to call the Search REST APIs for vector workloads in Azure AI Search.
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author: haileytap
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ms.author: haileytapia
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ms.service: azure-ai-search
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ms.date: 12/03/2024
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---
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# Quickstart: Vector search by using REST
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# Quickstart: Perform vector search using REST
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Learn how to use the [Search REST APIs](/rest/api/searchservice) to create, load, and query vectors in Azure AI Search.
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In this quickstart, you use the [Azure AI Search REST APIs](/rest/api/searchservice) to create, load, and query vectors.
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In Azure AI Search, a [vector store](vector-store.md) has an index schema that defines vector and nonvector fields, a vector search configuration for algorithms that create the embedding space, and settings on vector field definitions that are evaluated at query time. The [Create Index](/rest/api/searchservice/indexes/create-or-update) REST API creates the vector store.
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If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.
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> [!NOTE]
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> This quickstart omits the vectorization step and provides embeddings in sample documents. If you want to add [built-in data chunking and vectorization](vector-search-integrated-vectorization.md) over your own content, try the [**Import and vectorize data** wizard](search-get-started-portal-import-vectors.md) for an end-to-end walkthrough.
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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).
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- An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
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- [Azure AI Search](search-what-is-azure-search.md), in any region and on any tier. [Create](search-create-service-portal.md) or [find an existing Azure AI Search resource](https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/CognitiveSearch) under your current subscription.
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- You can use the *Free* tier for most of this quickstart, but *Basic* or higher is recommended for larger data files.
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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/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/CognitiveSearch) in your current subscription.
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- You can use a free search service for most of this quickstart, but we recommend the Basic tier or higher for larger data files.
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- To run the query example that invokes [semantic reranking](semantic-search-overview.md), your search service must be the *Basic* tier or higher, with [semantic ranker enabled](semantic-how-to-enable-disable.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).
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## Retrieve resource information
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