Vector Search
Vector search introduces semantic similarity capabilities into modern data platforms and SQL Server 2025. These articles examine architecture, operational considerations, limitations, and the questions that should be answered before production use.
SQL Server Vector Search: What to Evaluate Before Production
SQL Server 2025 adds native support for vector data and vector search. Applications can keep embeddings alongside relational data and use the SQL Database Engine to find semantically similar information. A small proof of concept is easy enough to build: store an embedding, calculate the distance between vectors and return ...
