What the RAG? Demystifying Retrieval-Augmented Generation

Heard of Retrieval-Augmented Generation (RAG) but not sure what it means or how it works? You’re not alone! In this session, we’ll break down the basics of RAG for beginners. Starting with a simple, easy-to-follow example, we’ll illustrate how RAG helps large language models (LLMs) go beyond their training data by incorporating company-specific or up-to-date information. We’ll then explore how real-world RAG systems extend this foundation with more advanced techniques. By the end, you’ll have a clear understanding of the RAG flow and the tools you need to build smarter, more informed AI solutions.