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articles/search/hybrid-search-how-to-query.md

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@@ -42,7 +42,7 @@ A hybrid query combines full text search and vector search, where the `"search"`
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Hybrid queries are useful because they add support for all query capabilities, including orderby and [semantic ranking](semantic-how-to-query-request.md). For example, in addition to the vector query, you could search over people or product names or titles, scenarios for which similarity search isn't a good fit.
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The following example is from the [Postman collection of REST APIs](https://github.com/Azure/azure-search-vector-samples/tree/main/demo-python) that demonstrate hybrid query configurations.
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The following example shows a hybrid query configurations.
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```http
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POST https://{{search-service-name}}.search.windows.net/indexes/{{index-name}}/docs/search?api-version=2023-11-01

articles/search/search-howto-index-cosmosdb.md

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+ Read permissions. A "full access" connection string includes a key that grants access to the content, but if you're using Azure RBAC (Microsoft Entra ID), make sure the [search service managed identity](search-howto-managed-identities-data-sources.md) is assigned both **Cosmos DB Account Reader Role** and [**Cosmos DB Built-in Data Reader Role**](../cosmos-db/how-to-setup-rbac.md#built-in-role-definitions).
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+ A [REST client]](search-get-started-rest.md) to create the data source, index, and indexer.
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+ A [REST client](search-get-started-rest.md) to create the data source, index, and indexer.
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## Define the data source
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