Developing a Private Document Question Answering App using RAG

This lab focuses on designing and deploying a Retrieval Augmented Generation (RAG) system using local tools. Learners will build a private document question answering solution using Ollama, LangChain, and Streamlit, enabling secure data processing without relying on external LLM services.