Lin-A1/MediGraphRAG
构建一个医疗知识图谱并基于此实现 RAG，并以此实现医学试题的生成
This project helps medical educators or content creators generate accurate medical exam questions, complete with options, correct answers, and detailed explanations. By inputting medical knowledge points, it processes this information through a knowledge graph to produce reliable and relevant test items. This is ideal for medical teachers, trainers, or curriculum developers.
No commits in the last 6 months.
Use this if you need to quickly and accurately generate a large volume of medical test questions from existing medical knowledge, ensuring factual correctness and reducing 'hallucinations' often seen in generic AI models.
Not ideal if you require questions from highly specialized or niche medical fields not covered by general medical textbooks and exam data, or if you prefer manual question curation over automated generation.
Stars
59
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
May 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Lin-A1/MediGraphRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ImprintLab/Medical-Graph-RAG
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
Warma10032/cyber-doctor
赛博医生项目——”赛博华佗“，基于多模态大模型的多功能智能体，一键搭建本地多模态大模型。接入医疗健康相关的知识图谱和知识库后可以进行疾病初诊，病历分析，专业知识问答等功能，成为你的私人医生。赛博...
Tyler-KD/multi-model-AI-assistant-medical-bot
RAG-enabled multi-agentic system for medical diagnosis and assistance
slinusc/medical_RAG_system
Enhancing Medical Question-Answering System through Advanced Information Retrieval Strategies
avnlp/biothink
Self-Reflective Question Answering for Biomedical Reasoning