Discover Retrieval-Augmented Generation (RAG), a technique that enhances Large Language Models (LLMs) by integrating external knowledge bases to provide more accurate, up-to-date, and contextually relevant responses. RAG combines information retrieval with generative AI to address issues like hallucinations and outdated training data, ensuring LLMs stay relevant and current. Learn how RAG works and its benefits