A GraphRAG repository that combines Qdrant (vector search), Neo4j (knowledge graph), and LLMs to provide an end-to-end ingest, query, and generation pipeline with an MCP HTTP server.
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feat: Update embedding model to BAAI/bge-m3 in configuration files
be3d391View on GitHubfeat: Update default GLiNER model to large version in README
4ea9394View on GitHubfeat: Enhance Excel ingestion pipeline with structured processing and entity extraction capabilities
e4a5217View on GitHubfeat: Add skeleton pipeline for Excel table detection and header normalization with enhanced handling for merged cells and multi-header tables
b20a632View on GitHubfeat: Update GLiNER model to large version and enhance Excel ingestion pipeline with table detection and header normalization
373cb71View on GitHubfeat: Add strategy for hybrid ingestion of Excel files into RAG/Knowledge Graph
4e7e81bView on GitHubfix: Comment out semantic_search tool registration in register_tools function
c1b6641View on GitHubfix: Update default embedding model to BAAI/bge-m3 in multiple files
570c5f7View on GitHubfeat: Add semantic_search function for vector-only retrieval in Qdrant
47d1ee0View on GitHubfix: Add type coercion for parameters in query_graph_rag_langextract function
ea5ab1fView on GitHubfix: Convert limit parameter to int in list_source_ids function
dddbb23View on GitHubfix: Update mcp.sh to activate virtual environment before running the script
4d857cbView on GitHubfeat: Add mcp.sh script for simplified execution of MCP GraphRAG
d2996daView on GitHub