RAG Clinical Question Answering
RAG pipeline with LangChain and ChromaDB for clinical question answering, including hybrid search (BM25 + dense) and Reciprocal Rank Fusion.
- Python
- LangChain
- ChromaDB
- FastAPI
- Docker
- RAG
Generative AI
RAG, agents, embeddings, and evaluation loops.
This page maps to repositories built around LangChain, LangGraph, vector search, LoRA fine-tuning, and document chat — plus LLM-assisted analytics.
8 repositories mapped from the shared project catalogue.
RAG pipeline with LangChain and ChromaDB for clinical question answering, including hybrid search (BM25 + dense) and Reciprocal Rank Fusion.
LangGraph multi-agent workflow with planner, researcher, writer, and evaluator agents that produce cited research reports.
Full-stack document chat: upload PDFs and query them through a RAG backend, with JWT auth. React, Node.js, FastAPI, PostgreSQL.
Hybrid product recommender combining collaborative filtering with embedding similarity search in FAISS.
LangGraph agent workflow that analyses security logs with the OpenAI API. Repository description mentions a self-reflection loop and hallucination under 3%.
Domain-specific LLM fine-tuning with LoRA, comparing the adapted model against the base model on a fixed evaluation set.
JavaScript application with a verified Vercel deployment. The GitHub description field is empty; details should be confirmed from the live app and repository source.
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