Advanced Agentic AI with LangChain, MCP, RAG, and Ollama: Build High-Performance AI Agents with Local LLMs, Retrieval-Augmented Workflows, and Modular
暫譯: 進階代理型人工智慧：使用 LangChain、MCP、RAG 和 Ollama 建立高效能 AI 代理，搭配本地 LLM、增強檢索工作流程及模組化設計

Advanced Agentic AI with LangChain, MCP, RAG, and Ollama is your complete guide to building high-performance AI agents that think, plan, and act with autonomy. Unlike simple chatbots that only provide reactive answers, agentic AI systems can break down complex goals, retrieve real-time knowledge, call external tools, and coordinate across multiple agents: creating workflows that are adaptive, scalable, and production-ready.
This book equips you with the skills to design and deploy AI agents using LangChain for orchestration, MCP (Model Context Protocol) for modular tooling, RAG (Retrieval-Augmented Generation) for context-rich intelligence, and Ollama for running powerful large language models locally with full control over privacy and performance.
Through clear explanations, authentic code examples, and real-world use cases, you will learn how to:

• Architect single-agent and multi-agent systems that collaborate, negotiate, and execute tasks autonomously.
• Harness retrieval-augmented pipelines with vector databases to deliver accurate, up-to-date results.
• Integrate local and hybrid LLMs for efficiency, security, and cost optimization.
• Build agents for enterprise knowledge assistance, data pipelines, cybersecurity, DevOps, and beyond.
• Optimize, deploy, and maintain agentic AI systems with scalability, monitoring, and compliance in mind.

Whether you're a developer, researcher, or AI engineer, this book provides a complete blueprint for mastering the next generation of AI systems. Every chapter is structured to move from concept to practice, ensuring you not only understand the theory but can also implement it in real projects.
Why This Book Matters
Agentic AI represents a turning point in how we build and interact with intelligent systems. Instead of passively responding, AI can now reason, adapt, and act. Companies, developers, and innovators who embrace this shift will be able to automate entire workflows, accelerate research, and create intelligent assistants that integrate seamlessly into everyday operations.
By mastering the tools and workflows in this book, you position yourself at the forefront of this transformation. You'll be ready to build agents that go beyond chat and deliver real impact in business, research, and technology.
If you're ready to move beyond static models and limited chatbots, and instead create autonomous, intelligent agents that can reason, retrieve, and act, this book is for you.
Don't just watch the future of AI unfold; be the one who builds it. Start your journey into advanced agentic AI today and unlock the potential of LangChain, MCP, RAG, and Ollama to design the next generation of intelligent systems.