What do you think?
Rate this book
Mastering Agentic RAG: Architecting Self-Correcting Systems that Reason and Retrieve
Mastering Agentic Architecting Self-Correcting Systems that Reason and Retrieve
Brief HookStandard Retrieval-Augmented Generation (RAG) has hit its ceiling. It’s time to build what’s autonomous AI systems that don’t just answer questions, but solve missions.
Book SummaryThis book is the definitive guide to the next evolution of Agentic RAG. While conventional RAG systems can ground language models in facts, they remain static and single-shot. Mastering Agentic RAG takes you beyond these limitations, teaching you how to build dynamic, autonomous agents that can reason, create multi-step plans, use tools, and intelligently retrieve knowledge to solve complex problems. This is the leap from a simple Q&A bot to a true AI problem-solver.
Authored by AI architect Marco Lusi, this book provides a first-principles approach to agentic system design. You will journey from the core theory of the cognitive loop (Reason -> Act -> Reflect) to the practical implementation of production-ready systems. Through advanced case studies, including an Autonomous Financial Analyst and a Self-Validating Codebase Assistant, you will learn to construct agents that can interact with APIs, execute code, and even correct their own mistakes. This is the essential playbook for any engineer looking to build the next generation of intelligent, knowledge-driven applications.
Why Choose this Book?Move Beyond Go from basic RAG concepts to building complete, multi-step agents with advanced planning, memory, and self-correction capabilities.
Architect with Learn production-ready architectural patterns, from asynchronous deployment and state management to implementing robust safety guardrails.
Build Resilient, Self-Correcting Master the art of reflection, enabling your agents to validate their own actions, critique the quality of information, and recover gracefully from failure.
Master Advanced Explore the future of AI with practical insights into multi-agent collaboration, self-improving systems, and the future of intelligent automation.
Call-to-ActionYour journey from AI engineer to AI architect begins here. Get your copy today and start building the future of intelligent systems.
Brief HookStandard Retrieval-Augmented Generation (RAG) has hit its ceiling. It’s time to build what’s autonomous AI systems that don’t just answer questions, but solve missions.
Book SummaryThis book is the definitive guide to the next evolution of Agentic RAG. While conventional RAG systems can ground language models in facts, they remain static and single-shot. Mastering Agentic RAG takes you beyond these limitations, teaching you how to build dynamic, autonomous agents that can reason, create multi-step plans, use tools, and intelligently retrieve knowledge to solve complex problems. This is the leap from a simple Q&A bot to a true AI problem-solver.
Authored by AI architect Marco Lusi, this book provides a first-principles approach to agentic system design. You will journey from the core theory of the cognitive loop (Reason -> Act -> Reflect) to the practical implementation of production-ready systems. Through advanced case studies, including an Autonomous Financial Analyst and a Self-Validating Codebase Assistant, you will learn to construct agents that can interact with APIs, execute code, and even correct their own mistakes. This is the essential playbook for any engineer looking to build the next generation of intelligent, knowledge-driven applications.
Why Choose this Book?Move Beyond Go from basic RAG concepts to building complete, multi-step agents with advanced planning, memory, and self-correction capabilities.
Architect with Learn production-ready architectural patterns, from asynchronous deployment and state management to implementing robust safety guardrails.
Build Resilient, Self-Correcting Master the art of reflection, enabling your agents to validate their own actions, critique the quality of information, and recover gracefully from failure.
Master Advanced Explore the future of AI with practical insights into multi-agent collaboration, self-improving systems, and the future of intelligent automation.
Call-to-ActionYour journey from AI engineer to AI architect begins here. Get your copy today and start building the future of intelligent systems.
247 pages, Kindle Edition
Published November 12, 2025
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.