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.
安装
npx skills add microsoft/azure-sql-database-container --skill azuresql-db-ragnpx skills add microsoft/azure-sql-database-container --skill azuresql-db-rag -a claude-code -gnpx skills add microsoft/azure-sql-database-container --skill azuresql-db-rag -a codex -ggemini skills install https://github.com/microsoft/azure-sql-database-container.git --path skills/azuresql-db-raggh skill install microsoft/azure-sql-database-container azuresql-db-raggit clone --depth 1 https://github.com/microsoft/azure-sql-database-container /tmp/microsoft__azure-sql-database-container
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/microsoft__azure-sql-database-container/skills/azuresql-db-rag ~/.claude/skills/azuresql-db-rag # Claude Code
cp -R /tmp/microsoft__azure-sql-database-container/skills/azuresql-db-rag ~/.agents/skills/azuresql-db-rag # Codex, Cursor, Gemini CLI, Copilot, OpenCode