http://localhost:1313/chapter1/s6/s6_activity/index.html Work in progress This section is under construction. This information hasn’t been reviewed or edited yet! Practical Activity Overview In this activity, you’ll build a Retrieval Augmented Generation (RAG) system that can answer questions based on your own documents. RAG combines the power of retrieval systems with language models to generate accurate, context-rich responses by: Retrieving relevant information from your documents Using that information to augment the language model’s knowledge Generating responses grounded in your specific data This implementation will follow a simple but effective architecture with two main components: Hugo en