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Agentic AI Engineering with RAG and MCP: From Modular Pipelines to Intelligent Automation
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Publisher: Independently Published
Published: Sep 17 2025
Pages: 212
Weight: 0.83
Height: 0.45 Width: 7.00 Depth: 10.00
Language: English
Agentic AI Engineering with RAG and MCP: From Modular Pipelines to Intelligent Automation
Are you struggling to turn raw AI potential into practical, production-grade solutions that actually move the needle for your business? The explosion of large language models and retrieval-augmented systems has changed the game, but real-world results still hinge on smart engineering-connecting data, models, and tools into seamless, scalable workflows. The future isn't about isolated prompts. It's about intelligent, agent-driven architectures that learn, adapt, and automate the work that matters.
Agentic AI Engineering with RAG and MCP is your hands-on guide to building next-generation systems using Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP). This book shows you how to move beyond demo scripts and fragmented pipelines, teaching you to design modular, composable AI agents that can reason, retrieve, and act on real data-safely, efficiently, and at scale.
Inside, you'll master the practical patterns powering today's best AI products:
Set up robust RAG pipelines with fast retrieval, semantic embeddings, and efficient vector stores.
Register, expose, and secure powerful tools and APIs through MCP, supporting everything from document search to web actions and code execution.
Engineer agents that chain tools, manage memory, personalize experiences, and adapt to complex multi-tenant environments.
Integrate security, monitoring, and error-handling from day one, avoiding the pitfalls that stall real deployments.
Scale effortlessly: from one agent and a handful of tools to cloud-scale architectures and high-load, multi-client operations.
Harness advanced techniques-hybrid models, proactive tool discovery, and multimodal workflows-ready for production.
Whether you're an AI engineer, architect, or a team lead aiming to deliver AI that works for real people, this book provides the code, architecture, and mental models to get you there-without hype or hand-waving.
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