Qdrant MCP

CommunityData & Visualization
Source

A high-performance vector database to create collections, store embeddings, and run semantic retrieval as a RAG backend.

#vector-database#rag#semantic-search#embeddings

What it can do

  • Create collections and embed documents as vectors
  • Run semantic retrieval against queries to recall the most relevant chunks
  • Build a knowledge-base RAG with the vector store as backend

Installation

claude mcp add qdrant

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