Explain how RAG works.

Focus on providing a clear and concise explanation of Retrieval-Augmented Generation (RAG) and its components. Start by outlining the two main parts: the retriever and the generator. Discuss how the retriever fetches relevant documents or information from a knowledge base to inform the generation process. Then, explain how the generator uses this retrieved information to produce more accurate and contextually relevant responses. Be prepared to highlight the advantages of RAG over traditional models, such as improved accuracy and the ability to handle dynamic information. Use examples to illustrate your points, if possible.