langchain-in-action

Why we included this project

This is the companion code for a paid LangChain course, and it works well as a browsable set of working examples. Each chapter walks through a core module, from chains and memory to agents and tools, with short runnable Python snippets that show how the pieces fit together. The author is upfront that LangChain has moved on since these examples were written, and some code needs newer versions to run, but the explanations of early design concepts still help you understand why the framework works the way it does today. If you learn better by reading and adapting code than by watching videos, this is a practical starting point before you dive into the current documentation.