asanmateu/medgraph-ai
Healthcare RAG agent with Neo4j knowledge graphs - Query medical data using LangChain, FastAPI & Streamlit
Implements a LangChain agent that translates natural language queries into Cypher statements for Neo4j graph traversal, enabling complex healthcare relationship queries across hospitals, physicians, patients, and visits. The architecture chains OpenAI models for agent reasoning, Cypher generation, and answer synthesis, with FastAPI exposing endpoints and Streamlit providing the frontend. Loads structured healthcare data from CSV sources into the graph, supporting multi-model configuration for different reasoning tasks.
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Python
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Last pushed
Aug 03, 2025
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