A local full-stack medical research assistant combining semantic vector search and keyword queries with Ollama Qwen3 to answer clinical literature questions with cited references.

RAG pipeline evaluation framework using RAGAS metrics (Context Precision, Recall, Faithfulness) with GPT-4, LangChain, and pytest

RAG system for NASA space mission data (Apollo 11, Apollo 13, Challenger). Built with ChromaDB + OpenAI embeddings for semantic search over mission transcripts, flight plans & audio data. Features a conversational LLM client, CLI pipeline, and evaluation suite.

Production-grade RAG system with hybrid retrieval (semantic + BM25), Parent-Child chunking, and RAGAS evaluation. Optimized through 9 controlled experiments — context relevancy improved 315%.

A minimal Retrieval-Augmented Generation (RAG) chat app over the `civictechdc/cib-mango-tree` GitHub repo and a small set of related web pages. It ingests sources into PostgreSQL (with `pgvector`), serves answers via a FastAPI backend, and exposes a Streamlit chat UI.