Model Context Protocol (MCP): The definitive developer's reference for Agentic RAG - Couverture souple

Hirsch, Marcel

 
9798287120238: Model Context Protocol (MCP): The definitive developer's reference for Agentic RAG
Couverture souple
ISBN 13 : 9798287120238
Editeur : Independently published, 2025

Synopsis

What if your AI could think with memory, act with autonomy, and collaborate across systems like a team of experts?

Welcome to Model Context Protocol (MCP): The Definitive Developer's Reference for Agentic RAG—the groundbreaking guide that unlocks the full power of intelligent agents through structured, context-aware design. This is not another vague AI hype manual. It's a deeply technical, hands-on blueprint for developers building the next generation of AI systems that are context-native, memory-augmented, and agentically capable.

Inside, you'll learn how to design and implement AI workflows that remember, reason, and react in dynamic environments. From setting up memory architectures and secure context-sharing, to orchestrating multi-agent research pipelines and embedding your agents within real-world applications using tools like LangChain, CrewAI, FastAPI, and more—this book takes you from theory to deployment with clarity and purpose.

What’s in it for you?

  • Master context modeling with Pydantic and modern Python workflows

  • Build scalable, secure multi-agent systems with isolated and scoped context

  • Trace, visualize, and debug context state across complex AI pipelines

  • Explore real-world projects like federated assistants, autonomous RAG pipelines, and decentralized AI ecosystems

Whether you're an AI engineer, a systems architect, or a developer chasing the bleeding edge of generative intelligence—this book is your tactical field guide. The unique value? A fully modular, open-standard protocol approach to context—built to integrate, adapt, and evolve with any AI framework or model.

Don’t just build agents. Build intelligent systems that think, remember, and collaborate.

Grab your copy now and lead the future of agentic AI development.

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Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798287120238
Reliure
Broché
Nombre de pages
384
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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