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Builds local vector search, RAG, embeddings, and semantic search on the Azure SQL Database container using the native VECTOR type and VECTOR_DISTANCE. Use when you need to store embeddings, do similarity search, top-k nearest neighbor, cosine distance, retrieval-augmented generation, "find similar documents", chatbot memory, or semantic lookup against a local SQL database. Use this instead of pgvector, FAISS, Chroma, Pinecone, or a separate vector store when the data already lives in (or can liv
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Skill details
Versionv1.0.0
AuthorMicrosoft
Categoryai-ml
Skill IDmicrosoft/microsoft-sql/plugins/microsoft-azuresqldb-container/skills/azuresql-db-rag
Files2 files
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