Retrieval-Augmented Generation (RAG) is one of the most effective strategies for making large language models (LLMs) smarter, more accurate, and domain-aware—without retraining them from scratch. In this fast-paced session, we'll break down the main components, why it is used and why it has become the go-to approach for enterprise AI.