Intro

This chapter explores Retrieval Augmented Generation (RAG) and its role in enhancing the reliability of AI-generated content through large language models. The discussion includes insights on the importance of embeddings, vector databases, and the challenges of hallucinations in LLMs, stressing the necessity of a reliable source of truth.