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amornpan/py-mcp-qdrant-rag
Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
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What We Know
- URL https://glama.ai/mcp/servers/s66rp7le34
- Framework mcp
- Sources glama
- First Seen Mar 16, 2026
- Repository github.com/amornpan/py-mcp-qdrant-rag
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