Retrieval Augmented Generation Document Assistant

• Tech Stack: Python, LangChain, Retrieval-Augmented Generation (RAG), FAISS, PGVector, Redis, PostgreSQL, Google Gemini, Streamlit, PyPDF2, Unstructured, Docker
• Website URL: Link
• Github URL: Project Link

• RAG-based document assistant that processes PDFs, retrieves relevant context using vector embeddings, and generates accurate, source-aware answers to user queries.