It lets users upload PDFs, splits them into chunks, creates embeddings stored in ChromaDB, and retrieves relevant passages to feed Gemini's LLM for answers. Built with Streamlit, LangChain, and Gemini API, it offers a ready‑to‑run UI for non‑technical users. Useful for researchers, students, or anyone needing quick insights from documents, and it streamlines the RAG pipeline compared to assembling components manually.
View on GitHub →KarunakarMalkagalla/PDF-Q-A-APP