Generative AI with LangChain, RAG & MCP: Build Production-Ready AI Agents with Retrieval-Augmented Workflows, Modular Memory, and Real-World Applicati
暫譯: 使用 LangChain、RAG 和 MCP 的生成式 AI：構建具生產就緒的 AI 代理，結合檢索增強工作流程、模組化記憶和實際應用

Unlock the power of generative AI and learn how to build intelligent, production-ready AI agents that can think, remember, and act using LangChain, RAG, and MCP.

In Generative AI with LangChain, RAG & MCP, you'll discover how to design AI agents capable of complex reasoning, contextual memory management, and retrieval-augmented workflows. This book walks you step-by-step through creating modular, scalable AI systems that go beyond simple chatbots to solve real-world problems. From integrating vector databases to orchestrating multi-step workflows, every chapter provides practical guidance for building AI agents that are reliable, efficient, and production-ready.

Whether you're working in customer support, research, enterprise knowledge management, or productivity automation, this book equips you with the techniques to implement AI agents that can retrieve, summarize, and act on information intelligently. By combining theoretical insights with hands-on examples, it ensures that you can apply cutting-edge AI tools to your projects immediately.

Benefits:

• Master retrieval-augmented generation (RAG) pipelines for context-aware AI.

• Implement modular memory with Model Context Protocol (MCP) for long-term reasoning.

• Build scalable multi-step workflows and orchestrate multi-agent systems.

• Explore real-world applications with practical code examples and project guides.

• Optimize AI agents for performance, reliability, and production environments.

Take your AI projects to the next level grab your copy of Generative AI with LangChain, RAG & MCP and start building smarter, production-ready AI agents today!