In the rapidly evolving world of artificial intelligence, one of the most exciting developments is the emergence of Retrieval-Augmented Generation (RAG). RAG is a novel approach that combines the power of language models with the ability to retrieve relevant information from a large corpus of text. This fusion enables AI models to generate more accurate, informative, and contextually relevant responses.