Exploring the Role of RAG in Enhancing AI Factual Accuracy

This chapter explores the importance of the Retrieval-Augmented Generation (RAG) paradigm in language models, focusing on how it ensures factual accuracy through trustworthy context. It discusses the evolution of RAG systems, emphasizing their role in providing reliable outcomes and maintaining trust in AI interactions.