GraphRAG

GraphRAG MCP provides a hybrid retrieval system that combines Neo4j graph database and Qdrant vector database capabilities for powerful document search and context expansion. Developed by Riley Lemm, this server implementation enables semantic search through document embeddings, graph-based context expansion following relationships, and hybrid search combining both approaches. The server exposes tools for querying documentation and resources for accessing database schema information, making it particularly valuable for applications requiring both semantic relevance and structural context in document retrieval, such as technical documentation systems, knowledge bases, or any application needing contextually aware information retrieval.