debalina-chowdhury/multi-agent-medical-system
Production-grade multi-agent AI system with LangGraph supervisor pattern, RAG knowledge base (ChromaDB), and Anthropic Claude — routes queries between specialized triage, scheduling, and eligibility agents
SUMMARY AI summary by gpt-5-mini
A production-grade multi-agent AI system for clinical workflows that uses a supervisor-pattern orchestrator to route queries to specialized agents. Built with LangGraph (StateGraph), Anthropic Claude, ChromaDB (RAG), sentence-transformers, and a Streamlit UI. Who uses it: developers and engineers building healthcare automation (triage, scheduling, eligibility), researchers prototyping RAG-backed clinical assistants, and teams integrating policy-grounded decision logic. Key features: - Supervisor agent routes to specialized agents (Triage, Scheduling, Eligibility) - RAG retrieval from ChromaDB to ground eligibility/prior-auth answers in real policy docs - Conditional edge routing, automatic tool selection, TypedDict state passing - Examples include urgency assessment, provider search/booking, insurance checks and prior authorization verification - Extensible project structure and local Streamlit demo for testing.
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Owner
ECE MS Graduate (Machine Learning and Data Science) at UC San Diego || Ex- ICICI Bank Pvt Ltd
Dates
| Created on GitHub | 2026-05-08 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 15:42 |
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