benitomartin/biomedical-graphrag
A comprehensive GraphRAG (Graph Retrieval-Augmented Generation) system designed for biomedical research
Combines Neo4j knowledge graphs with Qdrant vector embeddings for hybrid biomedical retrieval, ingesting PubMed papers, gene data, and citation networks into a specialized schema covering papers, authors, institutions, genes, and MeSH terms. LLM-powered tool selection routes queries to semantic search or graph traversal, while async processing handles high-volume data collection from external biomedical APIs.
Stars
99
Forks
23
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/benitomartin/biomedical-graphrag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
neo4j/neo4j-graphrag-python
Neo4j GraphRAG for Python
FalkorDB/GraphRAG-SDK
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
Hawksight-AI/semantica
Semantica 🧠— A framework for building semantic layers, context graphs, and decision...
gusye1234/nano-graphrag
A simple, easy-to-hack GraphRAG implementation