Take your RAG system to the next level
Retrieval-Augmented Generation (RAG) must be one of the most widely used systems in the world of Large Language Models to date. At its core, RAG combines the generative abilities of LLMs with a dynamic knowledge retrieval system, allowing models to access up-to-date, relevant knowledge base during generation. This knowledge base can be updated daily, without…
