Medical-Graph-RAG and medical_RAG_system

Medical-Graph-RAG

Established

medical_RAG_system

Emerging

Maintenance 6/25

Adoption 10/25

Maturity 16/25

Community 24/25

Maintenance 2/25

Adoption 7/25

Maturity 16/25

Community 16/25

Stars: 742

Forks: 127

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 29

Forks: 7

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

No Package No Dependents

Stale 6m No Package No Dependents

About Medical-Graph-RAG

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.

medical-information-retrieval clinical-decision-support medical-research evidence-based-medicine medical-question-answering

About medical_RAG_system

slinusc/medical_RAG_system

Enhancing Medical Question-Answering System through Advanced Information Retrieval Strategies

This system helps medical professionals, researchers, and students get precise answers to complex medical questions. You input a medical query, and it rapidly searches a vast collection of medical documents to provide accurate, relevant information, acting like a highly specialized medical search engine combined with a smart assistant.

medical-research clinical-support biomedical-information-retrieval medical-education healthcare-analytics

Related comparisons

Medical-Graph-RAG and Medical-Research-Assistant

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