The Practitioner's Guide to Agentic AI: Implementing RAG, MCP, and Advanced Planning Frameworks

By Jeremy Langenfeld

How can you build AI agents that truly think, remember, and execute?

As artificial intelligence reshapes how we work and innovate, the need for agents that do more than just chat is urgent. This practical guide helps you design AI systems that search, plan, take action, and adapt-so you can go far beyond simple automation.

Master the Building Blocks of Agentic AI
Inside, you'll discover clear, step-by-step coverage of Retrieval-Augmented Generation (RAG), the Model Context Protocol (MCP), and advanced planning agents. The book guides you through modern agentic workflows, scalable architectures, and hands-on projects, ensuring you gain both a conceptual toolkit and code you can use.

What sets this book apart?
Explore essential chapters including:

Foundations of Modern Agentic AI: Learn the core concepts of RAG, MCP, and multi-step planning.

Essential Components and Architectures: Build pipelines that retrieve, reason, remember, and act.

Building a RAG Pipeline Step-by-Step: Ingest, index, and retrieve real-world data using best practices.

Enabling Long-Term Memory and Stateful Agents: Create agents that retain knowledge and context over time.

Tool Use and Action with MCP and Python: Integrate agents with external tools and APIs for dynamic execution.

The ReAct Framework in Practice: Develop agents that alternate between reasoning and action, with error handling and evaluation.

Planning Chains and Orchestration Strategies: Automate complex workflows with flexible, robust chains.

End-to-End Projects: Build deployable research assistants, code explainers, and memory-driven AI tutors.

Advanced Topics: Tackle caching, security, monitoring, CI/CD, and future trends.

Ready to move from theory to real, working AI?

This book is your hands-on companion for designing and deploying robust, extensible, and production-grade agentic AI systems. Are you building developer tools, automating research, or leading technical innovation? Do you want agents that learn, adapt, and perform? Your playbook starts here.

Take the next step-grab your copy and start building tomorrow's AI today.

• Format: Paperback
• Language: English
• ISBN: B0FJGBNBQF
• ISBN13: 9798293529773
• Release Date: July 2025
• Publisher: Independently Published
• Length: 368 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"