Building Intelligent Systems: Designing Context-Aware, Autonomous AI Agents with LangChain: A Hands-On Guide to Designing, Deploying, and Scaling Auto
暫譯: 構建智能系統:使用 LangChain 設計具上下文感知的自主 AI 代理的實用指南:設計、部署和擴展自動化的手把手指南
Solace, Arden
- 出版商: Independently Published
- 出版日期: 2025-09-16
- 售價: $940
- 貴賓價: 9.5 折 $893
- 語言: 英文
- 頁數: 216
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798265745743
- ISBN-13: 9798265745743
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相關分類:
LangChain
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商品描述
Unlock the full potential of AI by mastering the art of designing context-aware, autonomous agents with Building Intelligent Systems: Designing Context-Aware, Autonomous AI Agents with LangChain. This comprehensive guide empowers developers, AI engineers, and innovators to move beyond basic prompt engineering and create sophisticated, scalable agent architectures. Written under the pen name Arden Solace, this book provides a hands-on roadmap for building intelligent systems that plan, adapt, collaborate, and execute tasks with precision and security.
Dive into the world of structured agent design with LangChain, LangGraph, and modern tools like FastAPI, Docker, and CI/CD pipelines. From recursive planning and secure tool integration to sub-agent orchestration and persistent memory stores, this book covers every aspect of creating production-ready AI systems. Packed with practical code examples, ready-to-use templates, and field-tested strategies, it equips you to build AI SaaS platforms, automate complex workflows, and deploy autonomous agents with confidence. Whether you're an intermediate Python or JavaScript developer or an AI enthusiast eager to harness the power of LLMs, this book is your ultimate guide to architecting the future of intelligent applications. Key Features:
Dive into the world of structured agent design with LangChain, LangGraph, and modern tools like FastAPI, Docker, and CI/CD pipelines. From recursive planning and secure tool integration to sub-agent orchestration and persistent memory stores, this book covers every aspect of creating production-ready AI systems. Packed with practical code examples, ready-to-use templates, and field-tested strategies, it equips you to build AI SaaS platforms, automate complex workflows, and deploy autonomous agents with confidence. Whether you're an intermediate Python or JavaScript developer or an AI enthusiast eager to harness the power of LLMs, this book is your ultimate guide to architecting the future of intelligent applications. Key Features:
- Step-by-step agent design with LangChain, LangGraph, and MCP
- Secure agent coordination, sandboxing, and prompt injection defenses
- Sub-agent delegation with shared virtual memory
- Recursive planning and hybrid agents with Retrieval-Augmented Generation (RAG)
- Deployment strategies using FastAPI, Node.js, Docker, and CI/CD
- Performance optimization, troubleshooting, and scaling techniques
- Practical templates, CLI cheatsheets, and production-grade architectures