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⬥ Engineering Flagship/ 2025End-to-end build · Dockerized production

CureWise — Agentic RAG for Healthcare

A production-grade healthcare platform that combines fine-tuned vision models, agentic RAG, and LLMs to deliver medical analytics, report parsing, and conversational AI — all dockerized and deployed end-to-end.

/ The Problem

Doctors and patients needed one interface to parse medical reports, diagnose skin conditions from images, and book appointments — without the hallucinations that kill clinical trust.

/ The Approach

Built an agentic RAG architecture: LangGraph routes each request to the right tool — a fine-tuned vision model for image diagnosis, a Pinecone-backed retriever grounded in PostgreSQL patient history, or a calendar agent. Every LLM answer is constrained to retrieved context and dockerized for reproducible deployment.

/ The Impact

Zero-hallucination responses grounded in real-time PostgreSQL patient history. Fine-tuned vision models diagnose acne and rashes from uploads. Agents hit a calendar API to book appointments directly from chat.

/ Highlights
  • Agentic routing with LangGraph across diagnosis, retrieval, and booking tools
  • Vision models fine-tuned to classify skin conditions from user uploads
  • RAG grounded in live PostgreSQL patient records — no hallucinated history
  • Fully dockerized for one-command, reproducible deployment
/ Stack
  • LangChain
  • LangGraph
  • Pinecone
  • Docker
  • PostgreSQL
  • GPT-3.5
View source on GitHub
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