LLM-powered semantic document organization and retrieval system using LangChain, Gemini 1.5 Pro, ChromaDB, and Retrieval-Augmented Generation (RAG).

Developed a document question answering system that utilizes Llama and LangChain for contextual and accurate answers. The system supports .txt documents, intelligent text splitting, and context-aware querying through an easy-to-use Streamlit interface.

This is an experiment in learning langchain, pinecone and stuff, don't mind