Introduction to Retrieval Augmented Generation (RAG)

This chapter provides an introduction to retrieval augmented generation (RAG) and its growing popularity. It explores the working principles of RAG, its advantages, and challenges. The chapter highlights the limitations of large language models (LLMs) and demonstrates how RAG can enhance question answering and content generation with targeted data sets. It also traces the origin of the RAG concept to Facebook AI research.