Artículo: AMZ-B0FCVV11ZW

Build Practical RAG Systems: A Hands-On Guide for Developers

Format:

Kindle

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • Retrieval-Augmented Generation (RAG) is one of the most important developments in applied AI, and one of the most misunderstood. This book is for developers vibe coders, and technical professionals who want to stop guessing and start building.Whether you're curious about how to integrate unstructured data into LLM workflows, or you’ve seen the limits of prompt engineering and want something more robust, this guide will walk you through practical, real-world RAG systems, step by step.You’ll learn:How to prepare documents for retrievalHow embeddings work (and when they fail)How to structure metadata, chunking, and query pipelinesThe tradeoffs between sparse, dense, and hybrid searchHow to debug, evaluate, and improve resultsThis book started as a course and evolved through feedback, experiments, and conversations with developers around the world. It's short by design (85 pages of focused, actionable insights).No filler. No black box magic. Just the kind of technical clarity I wish I had when I started building RAG systems.Welcome.Alexandre Santos

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