asanmateu/medgraph-ai
Healthcare RAG agent with Neo4j knowledge graphs - Query medical data using LangChain, FastAPI & Streamlit
This tool helps healthcare professionals and researchers quickly find answers to complex questions about medical data. You input natural language questions about hospitals, physicians, patients, and visits, and it provides specific, factual answers drawn from a structured healthcare knowledge graph. It's designed for anyone needing to analyze or extract insights from medical datasets without writing complex queries.
No commits in the last 6 months.
Use this if you need to rapidly query detailed healthcare data, such as finding specific physician specializations, comparing hospital patient satisfaction, or understanding visit patterns, using plain English.
Not ideal if you need to perform predictive analytics, manage real-time patient records, or if your primary data source is unstructured text documents rather than structured tabular data.
Stars
52
Forks
9
Language
Python
License
—
Category
Last pushed
Aug 03, 2025
Commits (30d)
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