Learn to build advanced Retrieval-Augmented Generation (RAG) systems through five Python notebooks in this 19-minute tutorial video. Progress from implementing basic text embeddings and creating vector stores to developing sophisticated autonomous ReAct Agents and self-reflective C-RAG systems. Master essential RAG concepts including vector embeddings, function calling, and building RAG from scratch using LlamaIndex and Haystack frameworks. Explore practical implementations with downloadable Colab notebooks that demonstrate each concept, from fundamental RAG architectures to advanced self-corrective systems. Gain hands-on experience with Mistral's approach to RAG development while following clear, step-by-step demonstrations of each implementation stage.