This session delves into the foundational concepts of Retrieval-Augmented Generation (RAG), a powerful framework that enhances Large Language Models (LLMs) by integrating dynamic retrieval with natural language generation. We will discuss the limitations of LLMs, such as static knowledge and scalability challenges, and how RAG addresses these issues. Attendees will gain a detailed understanding of the key component