ImprintLab/Medical-Graph-RAG
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
This project helps medical professionals, researchers, or students quickly find evidence-based answers to complex clinical questions. You input a medical question, and it retrieves and synthesizes information from medical records, research papers, textbooks, and dictionaries to provide a coherent, referenced answer. It's designed for anyone needing to efficiently extract accurate, contextualized information from vast amounts of medical knowledge.
742 stars.
Use this if you need to quickly get well-supported answers to medical questions by combining knowledge from patient data, research, and authoritative medical terminology.
Not ideal if you need to analyze purely unstructured text without linking it to structured medical knowledge bases or if you are not working within the medical domain.
Stars
742
Forks
127
Language
Python
License
MIT
Category
Last pushed
Oct 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ImprintLab/Medical-Graph-RAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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