Our Retrieval-Augmented Generation (RAG) system is powered by a local language model that incorporates internal chain-of-thought reasoning. This means that, internally, the model works through intermediate steps and logical reasoning to generate a robust, context-aware response. However, to ensure clarity and simplicity for end users, our system is engineered to only display the final, concise … More Building a Private AI: A Comprehensive Look at a Retrieval-Augmented Generation (RAG) Streamlit Project