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Agentic RAG Systems with MCP: Building Smarter AI Agents

Are you ready to build AI agents that think, adapt, and deliver real results?
As AI rapidly transforms industries, the next wave of innovation lies in agentic architectures that combine language models, advanced retrieval, and powerful tool orchestration. This hands-on book gives you everything you need to build robust, production-ready Agentic RAG (Retrieval-Augmented Generation) systems using the Model Context Protocol (MCP).

What’s Inside?
This book is your comprehensive guide to designing, implementing, and scaling agent-driven RAG workflows. Whether you’re a developer, data scientist, or engineering leader, you’ll learn how to move from scattered prototypes to integrated, secure, and future-proof solutions.

What Sets This Book Apart?

Explore step-by-step chapters filled with practical insights and actionable strategies, including:

  • Foundations of Agentic RAG: Understand the evolution of retrieval-augmented generation and the power of autonomous agents.

  • Model Context Protocol (MCP) Explained: Master the protocol that makes reliable, context-aware agent orchestration possible.

  • Designing Agentic Architectures: Build scalable, maintainable, and resilient RAG pipelines with real-world patterns.

  • Building Blocks: Learn how to integrate LLMs, vector databases, knowledge graphs, and external APIs.

  • Implementing MCP in Agentic RAG: See how to set up servers, register tools, manage context, and ensure smooth tool invocation.

  • Prompt Engineering & Security: Craft robust prompts, manage structured outputs, and embed privacy and compliance into every workflow.

  • Performance Optimization: Tackle latency, scale resources, and monitor system health for enterprise-grade performance.

  • Real-World Use Cases & Hands-On Implementation: Move from theory to practice with detailed guides, ready-to-run code, and proven deployment scripts.

  • Appendices: Quick-reference glossaries, API guides, configuration examples, and cheat sheets.

Why Read This Book?

  • Build smarter, context-driven AI agents

  • Gain practical skills with production-ready code

  • Stay ahead with proven patterns, security, and performance strategies

  • Create adaptable solutions that work today and scale tomorrow

Ready to build the next generation of AI-powered systems?
Get your copy of Agentic RAG Systems with MCP and start building smarter AI agents that deliver real value—fast.

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Randall, Luca
Editore: Independently published, 2025
ISBN 13: 9798285005926
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Luca Randall
Editore: Independently Published, 2025
ISBN 13: 9798285005926
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Paperback. Condizione: new. Paperback. Agentic RAG Systems with MCP: Building Smarter AI AgentsAre you ready to build AI agents that think, adapt, and deliver real results?As AI rapidly transforms industries, the next wave of innovation lies in agentic architectures that combine language models, advanced retrieval, and powerful tool orchestration. This hands-on book gives you everything you need to build robust, production-ready Agentic RAG (Retrieval-Augmented Generation) systems using the Model Context Protocol (MCP).What's Inside?This book is your comprehensive guide to designing, implementing, and scaling agent-driven RAG workflows. Whether you're a developer, data scientist, or engineering leader, you'll learn how to move from scattered prototypes to integrated, secure, and future-proof solutions.What Sets This Book Apart?Explore step-by-step chapters filled with practical insights and actionable strategies, including: Foundations of Agentic RAG: Understand the evolution of retrieval-augmented generation and the power of autonomous agents.Model Context Protocol (MCP) Explained: Master the protocol that makes reliable, context-aware agent orchestration possible.Designing Agentic Architectures: Build scalable, maintainable, and resilient RAG pipelines with real-world patterns.Building Blocks: Learn how to integrate LLMs, vector databases, knowledge graphs, and external APIs.Implementing MCP in Agentic RAG: See how to set up servers, register tools, manage context, and ensure smooth tool invocation.Prompt Engineering & Security: Craft robust prompts, manage structured outputs, and embed privacy and compliance into every workflow.Performance Optimization: Tackle latency, scale resources, and monitor system health for enterprise-grade performance.Real-World Use Cases & Hands-On Implementation: Move from theory to practice with detailed guides, ready-to-run code, and proven deployment scripts.Appendices: Quick-reference glossaries, API guides, configuration examples, and cheat sheets.Why Read This Book?Build smarter, context-driven AI agentsGain practical skills with production-ready codeStay ahead with proven patterns, security, and performance strategiesCreate adaptable solutions that work today and scale tomorrowReady to build the next generation of AI-powered systems?Get your copy of Agentic RAG Systems with MCP and start building smarter AI agents that deliver real value-fast. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798285005926

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Randall, Luca
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ISBN 13: 9798285005926
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