This project demonstrates a Retrieval-Augmented Generation (RAG) architecture using open-source tools. It solves the "knowledge cutoff" problem of LLMs by giving them access to live tools.
How it works:
Intent Classification: The user's input is first processed by a local Llama 3...
Retrieval- Augmented Generation (RAG) web app that synthesizes real time data from PUBMed.com and ClinicalTrials.gov, a custom React frontend and Node.js backend with MongoDB backend multi turn memory to maintain conversational context and prevent AI hallucinations