Qdrant MCP Server
ActiveDescription
Official Qdrant MCP server implementation, enabling AI assistants to interact with Qdrant vector database for semantic search and knowledge storage.
Official Qdrant MCP server implementation, enabling AI assistants to interact with Qdrant vector database for semantic search and knowledge storage.
A low-code MCP framework for building complex and innovative RAG pipelines. Combines visual pipeline design with MCP protocol integration for end-to-end RAG — from data ingestion and chunking to retrieval and generation.
The open-source RAG platform with built-in citations, deep research, 22+ file formats, partitions, and MCP server.
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling.
A hands-on Java and Spring AI project for building AI agents with RAG, tool calling, MCP, and ReAct-style autonomous planning.