GraphRAG

소개

GraphRAG is a production-grade Model Context Protocol (MCP) server designed to provide lightning-fast and transparent knowledge graph retrieval for LLMs. It offers graph-powered semantic search over the Grand Débat National dataset, indexing over 8,000 entities from 50 French communes. Built on principles of speed, context, and provenance, it dramatically outperforms traditional vector RAG systems by being 29x faster with built-in traceability of every answer back to original citizen contributions. Its universal MCP compatibility ensures seamless integration with various LLM clients like Claude Desktop, Dust.tt, and custom applications.

주요 기능

• Empirically Validated Quality via LLM-as-judge evaluation framework
• Complete Transparency with Answer Provenance (traceable to original sources)
• No Orphan Nodes – ensures all retrieved information is contextualized
• Universal MCP Compatibility (supports Claude, Dust.tt, Cline, custom clients)
• Lightning-Fast Graph Traversal (29x faster than vector RAG)
• 0 GitHub stars

사용 사례

• Policy analysis and thematic understanding of public concerns
• Studies on democratic participation and consultation processes
• Civic research and analysis of citizen contributions