Vector Search in SQL Server 2025: Storing Embeddings, Querying Them, and What to Watch Out For
This article shows how you can generate embeddings in SQL Server 2025, store them, and use them in your queries.
2026-06-08
2,672 reads
This article shows how you can generate embeddings in SQL Server 2025, store them, and use them in your queries.
2026-06-08
2,672 reads
Learn about the latest version of SQL Server and get help installing it on your system.
2026-05-04
7,958 reads
Learn how the JSON_ARRAYAGG() function works in SQL Server 2025.
2026-04-27
4,190 reads
Learn about migrating SSRS reports to Power BI Report Server in SQL 2025
2026-04-03
5,590 reads
Introduction SQL Server 2025 introduced new features, including vectors. The main purpose of vectors is to create a new semantic search with the help of AI. Modern AI models represent text as vectors (embeddings) that capture semantic meaning. Similar meanings produce vectors that are close to each other in this vector space, allowing AI systems to […]
2026-03-23
9,847 reads
2026-02-20
669 reads
2026-02-16
701 reads
2026-02-13
913 reads
Learn how we can search text values in SQL Server 2025 using the new AI capabilities.
2026-01-12
3,693 reads
Learn about the new ZSTD compression algorithm in SQL Server 2025.
2025-12-29
2,436 reads
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I add this parameter to SQL Server 2025 in the Configuration Manager:
-mDynamicsWhat does this do? See possible answers