Learn the fundamentals of Retrieval Augmented Generation (RAG) in this 39-minute conference talk from PyCon South Africa. Discover how to create domain-specific chatbots using Python and the LangChain library, starting with a practical demonstration of building a Q&A system in just three lines of code. Explore the core components and workflow of RAG systems, including Large Language Models (LLMs), embeddings, and vector databases. Follow along as the speaker breaks down the seemingly magical process of how chatbots can intelligently answer questions about specific documents or websites. Perfect for beginners seeking to understand the principles behind modern chatbot development, with detailed examples and clear explanations of the underlying technology that makes document-specific AI interactions possible.