Explain RAG $($retrieval augmented generation$)$ concept. RAG models combine the power of large language models with a retrieval component to augment the generation process with information extracted from a database or a corpus of documents. This approach enables the model to produce more accurate, informative, and context$-$relevant text outputs.Explain to me how?