Introduction


In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By grounding LLMs with external knowledge bases, RAG systems can generate more accurate, relevant, and up-to-date responses, mitigating...