This notebook demonstrates a Retrieval Augmented Generation (RAG) system for answering Bangla questions using a custom knowledge base. It utilizes metadata filtering (category and difficulty) and a Hugging Face embedding model to retrieve relevant information before generating an answer with an LLM hosted on GitHub.