Key Features
- Bridge the gap between prototype and production with robust LangGraph agent architectures
- Apply enterprise-grade practices for testing, observability, and monitoring
- Build specialized agents for software development and data analysis
- Purchase of the print or Kindle book includes a free PDF eBook
Who this book is for
This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.