Retrieval-Augmented Generation and AI Agents

This podcast is generated from Chip Huyen’s book on foundation models (Chapter 6) explains Retrieval-Augmented Generation (RAG) and intelligent agents, two techniques that enhance AI models. RAG improves model responses by retrieving relevant external information, using methods like term-based and embedding-based retrieval. Intelligent agents expand AI capabilities by using tools such as web search and databases, allowing them to perform complex tasks. The chapter discusses the architecture, algorithms, and evaluation of both RAG and agents, including planning, tool selection, and memory management. Finally, it highlights the importance of a memory system for managing information overflow and maintaining consistency in AI applications.