LangChain in Action: Building production ready LLM application

By Robert J Godwin

Book Description: LangChain in ActionGo beyond simple API calls and build what's next in AI. Large Language Models are changing the world, but a powerful model is not enough. To create real-world, valuable applications, you need to master the art of AI engineering. This book is your hands-on, project-based guide to moving from basic prototypes to production-grade, autonomous AI systems with LangChain.
(Summary)
LangChain in Action is the definitive playbook for Python developers ready to build robust, scalable, and reliable applications with the LangChain framework. Step-by-step, you will learn to construct sophisticated systems that can reason, act, and remember. Forget "Hello, World" examples; you will build four production-grade projects from scratch: a conversational RAG chatbot that can query your private documents, a web-browsing research assistant, an autonomous SQL database analyst, and a collaborative multi-agent content creation crew.
This book is your practical journey from being a developer who uses AI to becoming an AI Engineer who builds intelligent systems. Inside, you will master:
The Full Stack of AI Engineering: From the fundamentals of the LangChain Expression Language (LCEL) to advanced agentic design.
Retrieval-Augmented Generation (RAG): Learn the complete RAG pipeline, from data ingestion and embedding with vector stores (like ChromaDB) to building stateful, conversational chatbots that are grounded in your own private data.
Autonomous AI Agents: Give your AI the ability to act. Learn to build powerful agents with tools, enabling them to browse the web (Tavily), perform calculations, and even write and execute their own SQL queries.
Multi-Agent Collaboration: Dive into the cutting edge with CrewAI to build a team of specialized agents that collaborate to solve complex, multi-stage problems.
Production-Ready Best Practices: Master the essential "last mile" of development. Learn to debug your systems with LangSmith tracing, build "golden datasets" for automated evaluation and regression testing, and deploy your application as a scalable API with FastAPI and Docker.
Written for Python developers, this book requires no prior machine learning experience. It is packed with complete, working code examples, professional insights, and a focus on the modern, best-practice techniques that will make you a sought-after AI engineer.
Whether you're building an internal Q&A bot, a customer-facing assistant, or the next generation of autonomous tools, LangChain in Action is your indispensable guide to building production-ready LLM applications.

• Format: Paperback
• Language: English
• ISBN: B0FK2PG93Y
• ISBN13: 9798294183356
• Release Date: July 2025
• Publisher: Independently Published
• Length: 386 Pages
• Weight: 1.47 lbs.
• Dimensions: 0.8" x 7.0" x 10.0"