滿額折
Master LangGraph: A Developer's Guide to AI Workflows and Agents with LangChain
商品資訊
ISBN13：9798283644172
出版社：Independently published
作者：Hawke Nexon
出版日：2025/05/12
裝訂：平裝
規格：27.9cm*21.6cm*1.5cm (高/寬/厚)
商品簡介
商品簡介
Master LangGraph: A Developer's Guide to AI Workflows and Agents with LangChain
Build scalable, intelligent, and production-ready AI applications using the next-generation graph-based framework for Python. The future of AI development is graph-based - are you ready to lead the charge?
LangGraph is revolutionizing how developers design and orchestrate intelligent workflows using Large Language Models (LLMs). Whether you're building collaborative agents, research assistants, or automated enterprise systems, this book provides the roadmap to mastering LangGraph with Python and LangChain. Inside this hands-on guide, you'll learn how to: Think in graphs: Model AI workflows and multi-agent systems using LangGraph's node, edge, and state architecture. Go beyond pipelines: Explore the power of conditionals, loops, memory, and tool use in dynamic, decision-based agents. Build real-world apps: From research assistants to product ideators, walk through full projects with production-ready patterns. Design intelligent agents: Implement LangChain tools, custom functions, memory modules, and OpenAI function calling. Scale and deploy with confidence: Learn how to integrate FastAPI, Streamlit, Docker, CI/CD pipelines, and observability tools. Ensure safety and ethics: Build secure, explainable, and aligned agent systems with guardrails and auditability. Stay ahead of the curve: Discover emerging trends, distributed agents, and the LangGraph open-source roadmap. Who this book is for: Developers working with Python, LLMs, and LangChain AI engineers building multi-agent systems and automation workflows Technical founders and researchers looking to prototype scalable AI apps Educators, students, and hackathon participants exploring next-gen AI tools Bonus Resources Include: Companion GitHub repository with full code examples Developer challenges, project templates, and workshop curriculum Glossary, API references, and prompt engineering templates If you're serious about building intelligent, adaptive, and scalable AI systems - this is the one book you can't afford to miss.
Build scalable, intelligent, and production-ready AI applications using the next-generation graph-based framework for Python. The future of AI development is graph-based - are you ready to lead the charge?
LangGraph is revolutionizing how developers design and orchestrate intelligent workflows using Large Language Models (LLMs). Whether you're building collaborative agents, research assistants, or automated enterprise systems, this book provides the roadmap to mastering LangGraph with Python and LangChain. Inside this hands-on guide, you'll learn how to: Think in graphs: Model AI workflows and multi-agent systems using LangGraph's node, edge, and state architecture. Go beyond pipelines: Explore the power of conditionals, loops, memory, and tool use in dynamic, decision-based agents. Build real-world apps: From research assistants to product ideators, walk through full projects with production-ready patterns. Design intelligent agents: Implement LangChain tools, custom functions, memory modules, and OpenAI function calling. Scale and deploy with confidence: Learn how to integrate FastAPI, Streamlit, Docker, CI/CD pipelines, and observability tools. Ensure safety and ethics: Build secure, explainable, and aligned agent systems with guardrails and auditability. Stay ahead of the curve: Discover emerging trends, distributed agents, and the LangGraph open-source roadmap. Who this book is for: Developers working with Python, LLMs, and LangChain AI engineers building multi-agent systems and automation workflows Technical founders and researchers looking to prototype scalable AI apps Educators, students, and hackathon participants exploring next-gen AI tools Bonus Resources Include: Companion GitHub repository with full code examples Developer challenges, project templates, and workshop curriculum Glossary, API references, and prompt engineering templates If you're serious about building intelligent, adaptive, and scalable AI systems - this is the one book you can't afford to miss.
購物須知
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。