The code demonstrates how to build a Retrieval-Augmented Generation (RAG) pipeline using BeyondLLM to extract information from a YouTube video and answer questions about it. It utilizes open-source models from Hugging Face and Google's Gemini, and evaluates the pipeline's performance using the RAG Triad technique.