Love the fact you put examples in python and javascript.

Great book.

Liked the book. But Still missing Human in the loop.

Concepts are sound but the code in this book is already obsolete

If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.

What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.

What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.

I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.

A great primer on getting started with LangChain concepts!

it was great

After reading the first 100 pages, I can say this is a very good book. It greatly helps getting the most of LangChain.

the company I work for is implementing a chatbot using langchan. This book gave me confidence I needed to work with langchain, the examples in javascript and python are a big deal. it does talk briefly about HITL.

This was such a useful book! I was writing my own apps every step of the way as I read. Great examples and good writing. The RAG and Agent sections were the most useful.

Sadly this book is a complete waste of time. The LangChain SDK has changed so much since it was published that none of the examples from the first few pages actually worked. It was a case of debugging them each time with the LangChain docs.

I returned the book for a refund as it’s not fit for purpose.