MrRezaeiUofT/AMG-RAG
AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating of Medical Knowledge Graphs (MKGs), integrates reasoning, and retrieves current external evidence for medical Question Answering (QA).
This tool helps medical professionals, researchers, and students get accurate answers to complex medical questions. It takes a medical question and optional answer choices, then constructs and continuously updates a Medical Knowledge Graph using the latest research from sources like PubMed. The output is a confident answer along with an explanation based on an integrated network of medical concepts and relationships.
Use this if you need to find reliable, evidence-backed answers to medical questions, especially when the relevant information is rapidly evolving.
Not ideal if you're looking for a simple keyword search, or if your questions are outside the domain of medical knowledge.
Stars
21
Forks
4
Language
Python
License
—
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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