Intro

This chapter explores Retrieval Augmented Generation (RAG) and its significance in AI advancements, focusing on tackling AI hallucinations and improving accuracy in language models. A solution from Victara is presented, offering enhanced fact-checking to maintain factual consistency in generative AI outputs.