Medical-Graph-RAG and Medical-Research-Assistant
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.
About Medical-Research-Assistant
Chrisolande/Medical-Research-Assistant
A comprehensive RAG pipeline combining knowledge graphs, vector search, and LLM generation for medical document analysis. Features semantic caching, advanced reranking, and modular architecture for scalable knowledge discovery from medical literature.
This tool helps medical researchers and clinicians quickly find answers to complex questions by analyzing medical literature. You input your research question or search topic, and it processes medical articles, abstracts, and MeSH terms. It then generates concise, evidence-based answers, saving significant time in literature review and knowledge discovery.
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