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Stores and searches vectors natively in Azure SQL Database: the vector type, VECTOR_DISTANCE, the 1998 dimension ceiling, the DiskANN vector index, and the long list of places a vector column is refused. Use when a schema needs an embedding column, when someone asks to "store embeddings in SQL", "do similarity search", "cosine distance", "top k nearest neighbours", "CREATE VECTOR INDEX", "VECTOR_SEARCH" or "WITH APPROXIMATE"; when a vector column is rejected as a key, a constraint, a computed co

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Skill detayları

Versiyonv1.0.0
YazarMicrosoft
Kategoriai-ml
Skill IDmicrosoft/microsoft-sql/plugins/microsoft-sql-vscode/skills/vector-search-azure-sql
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