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Merge pull request #285253 from YaelSchuster/patch-3
Update embeddings.md
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articles/ai-services/openai/how-to/embeddings.md

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@@ -139,11 +139,12 @@ Our embedding models may be unreliable or pose social risks in certain cases, an
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* Learn more about using Azure OpenAI and embeddings to perform document search with our [embeddings tutorial](../tutorials/embeddings.md).
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* Learn more about the [underlying models that power Azure OpenAI](../concepts/models.md).
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* Store your embeddings and perform vector (similarity) search using your choice of Azure service:
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* Store your embeddings and perform vector (similarity) search using your choice of service:
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* [Azure AI Search](../../../search/vector-search-overview.md)
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* [Azure Cosmos DB for MongoDB vCore](/azure/cosmos-db/mongodb/vcore/vector-search)
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* [Azure SQL Database](/azure/azure-sql/database/ai-artificial-intelligence-intelligent-applications?view=azuresql&preserve-view=true#vector-search)
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* [Azure Cosmos DB for NoSQL](/azure/cosmos-db/vector-search)
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* [Azure Cosmos DB for PostgreSQL](/azure/cosmos-db/postgresql/howto-use-pgvector)
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* [Azure Database for PostgreSQL - Flexible Server](/azure/postgresql/flexible-server/how-to-use-pgvector)
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* [Azure Cache for Redis](../../../azure-cache-for-redis/cache-tutorial-vector-similarity.md)
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* [Use Eventhouse as a vector database - Real-Time Intelligence in Microsoft Fabric](/fabric/real-time-intelligence/vector-database)

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