Enhanced Rag: A Practical Guide to Smarter Performance, Faster Results, and Everyday Improvement

By: Thompson, Raymond

Unlock the full potential of Retrieval-Augmented Generation and elevate your AI systems from basic implementations to production-grade excellence with the most comprehensive guide ever written on the subject.

Enhanced RAG: A Practical Guide to Smarter Performance, Faster Results, and Everyday Improvement is the definitive all-in-one resource for building, optimizing, and deploying state-of-the-art RAG pipelines. Whether you're just starting with retrieval-augmented generation or already running RAG in production and seeking advanced techniques, this book takes you step-by-step from core fundamentals to cutting-edge enhancements and future-ready architectures.

Inside, you'll discover how to:

Master data preparation, intelligent chunking, metadata design, and indexing strategies that form the unbreakable foundation of high-performing RAG systems.Implement advanced retrieval methods including hybrid search, query transformation, reranking, and GraphRAG to dramatically improve relevance and reduce noise.Optimize generation with sophisticated prompting, context compression, self-reflection, and corrective loops for responses that are accurate, concise, and truly grounded.Evaluate RAG performance rigorously using modern metrics and frameworks to measure, iterate, and prove real improvement.Deploy enhanced RAG at scale with confidence, drawing from detailed case studies across healthcare, finance, e-commerce, and internal knowledge management.Integrate RAG into agentic workflows and multi-agent systems, turning static retrieval into a dynamic tool for autonomous AI agents.Prepare for the future with multimodal extensions, real-time streaming, edge deployment, and sustainable design principles.

Plus, gain access to practical exercises, code templates, evaluation scripts, and a structured 30-day improvement plan to accelerate your progress.

Unlike scattered blog posts, research papers, or basic tutorials, this book delivers a complete, coherent journey-blending deep technical expertise with battle-tested practices from real-world deployments. By the end, you won't just "use" RAG; you'll master it as a strategic capability for building trustworthy, high-performance AI applications.

• Format: Paperback
• Language: English
• ISBN: B0GCX53Y2T
• ISBN13: 9798241563156
• Release Date: December 2025
• Publisher: Independently Published
• Length: 162 Pages
• Weight: 0.43 lbs.
• Dimensions: 0.3" x 5.5" x 8.5"