Agentic AI Mastery: From Assistants to Graph-Powered Multi-Agent Systems (AI Agents with RAG: The Complete Developer Series for Next-Gen Intelligent Systems)

Daniel, Dwayne

ISBN 13: 9798265396044

Editore: Independently published, 2025

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Dati bibliografici

• Titolo: Agentic AI Mastery: From Assistants to Graph-Powered Multi-Agent Systems (AI Agents with RAG: The Complete Developer Series for Next-Gen Intelligent Systems)
• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798265396044
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Agentic AI Mastery: From Assistants to Graph-Powered Multi-Agent Systems

AI is no longer just about answering questions—it’s about building intelligent agents that can act, adapt, and collaborate. The rise of agentic AI marks a turning point where systems move beyond passive responses and become active participants in decision-making, automation, and large-scale problem solving.

This book is a complete guide to mastering the design, development, and deployment of agentic AI systems. Written for developers, architects, and technology leaders, it shows how to build assistants, extend them into multi-agent workflows, and scale them into enterprise-ready systems powered by graphs, retrieval, and orchestration. Whether you are building your first assistant or preparing to deploy adaptive AI across a business, this book provides both the technical depth and practical insights you need.

What makes this book stand out is its structure. Each chapter builds toward mastery while staying grounded in real-world applications:

• Foundations of Agentic AI introduces core principles and the evolution from simple chatbots to autonomous systems.

• Building the First Assistant provides step-by-step guidance with code illustrations to create functional, context-aware agents.

• Context, Memory, and Retrieval explores RAG pipelines, embedding-based retrieval, and long-term memory systems.

• Orchestration and Multi-Agent Design demonstrates how to coordinate multiple agents with reliability and scale.

• Graph-Powered Architectures explains LangGraph, AutoGen, and graph-based orchestration patterns.

• Advanced Multi-Agent Workflows covers delegation, negotiation, consensus building, and feedback loops.

• Cloud-Native Agent Systems details serverless deployments, distributed scaling, and compliance.

• Enterprise Applications shows practical use cases in finance, healthcare, manufacturing, and beyond.

• Future of Agentic AI looks at Graph-RAG, self-improving systems, and the ethical and societal questions that shape adoption.

Every section blends theory with practical examples, making it equally useful for hands-on developers and strategic decision-makers. You’ll gain not only the ability to build agents but also the confidence to design scalable, trustworthy, and future-ready systems.

If you want to move beyond prototypes and harness the real potential of autonomous, multi-agent AI for enterprise and innovation, Agentic AI Mastery is your definitive guide. Take the next step in mastering agentic AI today.