Retrieval-augmented generation (RAG) is a generative AI framework for improving the accuracy and reliability of large language models (LLMs), using relevant data from company sources.
Learn why providing reliable responses is not so easy, what are some of the challenges with this approach, and what are some of the RAG use cases you could start with.
