What matters in Retieval Augmented Generation
Retrieval Augmented Generation (RAG) has emerged as a crucial technique for enhancing Large Language Models' capabilities by providing them with up-to-date, relevant external knowledge. While the concept seems straightforward, implementing an effective RAG system requires careful consideration of several key aspects.
