Learn to develop and evaluate a Retrieval-Augmented Generation (RAG) system using Llama 3.1 in this comprehensive conference talk from Data Science Conference MENA 25. Discover the complete process of building a custom chatbot through RAG methodologies, starting with effective dataset integration techniques that enhance system performance. Master prompt engineering strategies to design prompts that optimize your system's ability to generate relevant and coherent responses. Explore best practices for performance evaluation to assess your RAG system's effectiveness and ensure high-quality outcomes. Gain practical insights into the essential tools and methodologies needed for constructing, implementing, and evaluating LLM-based RAG systems, with detailed coverage of each critical step in the development process.