Azure-Samples/azure-sql-db-vector-search
Samples about using vector in SQL Server and Azure SQL
This helps developers integrate advanced AI search capabilities directly into applications that use Azure SQL Database or SQL Server. It shows how to store and query numerical representations of data (embeddings) to enable semantic search, which finds results based on meaning, not just keywords. Developers can use this to enhance their applications with AI features like intelligent search and content generation.
Use this if you are a developer looking to build applications with sophisticated AI search features, large language model integration, or semantic understanding using your existing SQL database.
Not ideal if you are an end-user without development experience, as these are technical code samples for implementing AI features within a database.
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MIT
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Last pushed
Feb 19, 2026
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