Retrieval-Augmented Generation (RAG) represents a significant leap forward in the realm of artificial intelligence, particularly in the enhancement of Large Language Models (LLMs). By seamlessly integrating external data retrieval into the generative capabilities of LLMs, RAG addresses critical gaps in traditional language models, such as outdated or limited knowledge bases. This integration is achieved through…