Introduction In the rapidly evolving landscape of Artificial Intelligence, Retrieval-Augmented Generation (RAG) has emerged as a pivotal technique for enhancing the factual accuracy and relevance of Large Language Models (LLMs). By enabling LLMs to retrieve information from external knowledge bases before generating responses, RAG mitigates common issues such as hallucination …
