LangChain-Chinese-Getting-Started-Guide

Why we included this project

Chinese-speaking developers new to LLM applications will find this one of the most direct ways into LangChain. It works through the framework's core pieces, from connecting models to outside data sources and prompt templates to document loaders and chained calls, with runnable Colab notebooks rather than abstract theory. The author is honest about how fast the library changes, flags sections that have aged, and keeps a changelog so returning readers can quickly see what's new. Plain-language explanations of concepts like loaders and indexes make it a comfortable place to start before you write any code, even though some examples now lag behind the current library.