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Document Cosmos vector search/FTS being introduced in 10 (#5075)
Fixes #5074
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entity-framework/core/providers/cosmos/full-text-search.md

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---
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title: Full Text Search - Azure Cosmos DB Provider - EF Core
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description: Full text search with the Azure Cosmos DB EF Core Provider
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title: Full-Text Search - Azure Cosmos DB Provider - EF Core
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description: Full-text search with the Azure Cosmos DB EF Core Provider
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author: maumar
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ms.date: 04/19/2025
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uid: core/providers/cosmos/full-text-search
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---
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# Full text search
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# Full-text search
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> [!NOTE]
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> Full-text search support for Cosmos was introduced in EF 10.
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Azure Cosmos DB now offers support for [full-text search](/azure/cosmos-db/gen-ai/full-text-search). It enables efficient and effective text searches using advanced techniques like stemming, as well as evaluating the relevance of documents to a given search query. It can be used in combination with vector search (i.e. hybrid search) to improve the accuracy of responses in some AI scenarios.
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EF Core allows for modeling the database with full-text search enabled properties and using full-text search functions inside queries targeting Azure Cosmos DB.

entity-framework/core/providers/cosmos/vector-search.md

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# Vector search
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> [!NOTE]
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> The below describes the vector search support in EF 10. EF 9 includes similar experimental support with slightly different method naming.
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Azure Cosmos DB now offers support for vector similarity search. Vector search is a fundamental part of some application types, including AI, semantic search and others. Azure Cosmos DB allows you to store vectors directly in your documents alongside the rest of your data, meaning you can perform all of your queries against a single database. This can considerably simplify your architecture and remove the need for an additional, dedicated vector database solution in your stack. To learn more about Azure Cosmos DB vector search, [see the documentation](/azure/cosmos-db/nosql/vector-search).
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Vector property can be configured inside `OnModelCreating`:

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