{"repo":"zilliztech/milvus-skill","free":true,"listed":false,"github":"https://github.com/zilliztech/milvus-skill","clone":"git clone https://github.com/zilliztech/milvus-skill.git","description":"Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid search, full-text search, indexing, RBAC, and common patterns like RAG","language":null,"stars":39,"topics":["agent-skill","claude-code","llm","milvus","pymilvus","vector-database","zilliz"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"milvus-skill An agent skill that teaches LLMs how to use pymilvus to operate Milvus vector database. What's Included - SKILL.md — Main skill definition with connection, collection management, vector operations, and index management - references/ — Detailed reference docs for each feature area: - collection.md — Data types, schema fields, collection operations - vector.md — Insert, search, hybrid search, full-text search, iterators, filters - index.md — Index types, metric types, create/manage indexes - partition.md — Partition CRUD - database.md — Database management - user-role.md — RBAC: users, roles, privileges - patterns.md — Common patterns (RAG, semantic search, hybrid search, full-text search) Install as Claude Code Skill Capabilities - Connect to Milvus Lite, Standalone, Cluster, or Zilliz Cloud - Create collections with quick or custom schemas - Insert, upsert, search, query, get, delete vectors - Hybrid search with RRF/Weighted reranking - Full-text search with BM25 - Paginated iteration over large result sets - Index management (AUTOINDEX, HNSW, IVF FLAT, etc.) - Partition, database, and RBAC management Requirements - Python 3.8+ - pymilvus ( pip install pymilvus )","default_branch":null,"files":null,"tree":[],"storefront":"/r/zilliztech","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zilliztech/milvus-skill/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}