RAG for Beginners

Retrieval-Augmented Generation: A Practical Guide to Building Smarter AI SystemsLarge language models are transforming how the world works with information. But they have a fundamental problem: they hallucinate, they go out of date, and they have no access to your data. Retrieval-Augmented Generation, known as RAG, is the architectural solution that fixes all three — and this book is your complete, practical guide to understanding and building it.Written for developers, AI engineers, and technical practitioners who want to go beyond using AI tools to actually building reliable AI systems, this book takes you from first principles through to production deployment without skipping the details that matter.You will begin by understanding exactly why large language models fall short on their own — the knowledge cutoff problem, the hallucination crisis, and the impossibility of stuffing an entire organisation's knowledge into a model's context window. You will then learn how RAG solves each of these problems by combining the expressive power of language models with the precision of real-time information retrieval from sources you control.