How do you make large language models (LLMs) like GPT-4 smarter and more reliable for specific tasks it wasn't exactly trained on? Like Domain specific tasks about your company or industry? One powerful technique is Retrieval-Augmented Generation (RAG). RAG combines the strengths of LLMs with external knowledge sources to improve response accuracy and relevance.