benitomartin/biomedical-graphrag
A comprehensive GraphRAG (Graph Retrieval-Augmented Generation) system designed for biomedical research
This system helps biomedical researchers and scientists deeply analyze vast amounts of biomedical literature and genomic data. It takes in scientific papers from PubMed and gene information, then allows users to ask complex questions in natural language. The output is intelligent answers and insights derived from the relationships between papers, genes, authors, and institutions, aiding in tasks like understanding research trends or finding collaborators.
Use this if you need to perform advanced, natural language queries across biomedical literature and gene data, combining semantic understanding with relational insights to uncover hidden connections.
Not ideal if you only need simple keyword searches or if your primary data source is not biomedical literature or gene information.
Stars
99
Forks
23
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
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