SQL Server Vector Search: What to Evaluate Before Production
Read OriginalThis article discusses the considerations for moving SQL Server vector search from proof of concept to production. It highlights benefits like keeping relational and vector data together, but emphasizes the need for capacity planning due to vector storage size (e.g., 6KB per 1536-dim vector), realistic performance testing with large datasets, and integration with existing operational environments. The article is technical and aimed at IT professionals evaluating this feature.
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