Demo: Chatbot using RAG

Retrieval-Augmented Generation (RAG) is an architecture that combines retrieval-based and generation-based approaches in natural language processing (NLP), specifically for tasks like question answering, summarization, and chatbots.

RAG enhances a language model by allowing it to fetch relevant external information (documents, facts, knowledge) before generating a response — like giving the model a real-time memory boost.