# liaokongVFX/LangChain-Chinese-Getting-Started-Guide

LangChain 的中文入门教程

Repository: https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide
Canonical: https://ross.abutalabs.com/products/langchain-chinese-getting-started-guide
License Family: other
Topics: chatgpt, langchain, openai, openai-api, aigc
Last push: 2026-04-22T16:31:50+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 78, release rhythm 35, longevity 88
- inputs: {"age_days": 1244, "days_push": 133, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9104, forks 713 (observed 2026-08-28T04:10:28.405979+00:00)

## What it is
A Chinese-language getting-started tutorial for LangChain, explaining core concepts like loaders, document splitting, vector stores, and chains with runnable Colab examples. It is published as a GitBook and maintained alongside a published book on building LLM applications.

## Use cases
- learn langchain in chinese
- getting started with langchain tutorial
- understand langchain loaders and vector stores
- build llm apps with openai api
- learn rag basics with langchain
- chinese guide to large language model development

## When to choose
- you are a Chinese-speaking developer new to LangChain or LLM app development
- you want a concept-first walkthrough with runnable Colab examples
- you need explanations of loaders, text splitters, vector stores, and chains

## When to avoid
- you need up-to-date code guaranteed to match the latest LangChain API, since examples may lag behind rapid library changes
- you want an official or English-language reference
- you need production-ready code rather than tutorial material

## Facets
- artifact type: learning-resource
- maturity: active
- function: rag, llm-inference, prompt-engineering, documentation
- domain: large-language-models, tutorials
- platform: python, cross-platform
- tags: langchain, chinese, getting-started, openai, llm-tutorial, gitbook, retrieval-augmented-generation, natural-language-processing

## Member repositories
- liaokongVFX/LangChain-Chinese-Getting-Started-Guide (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:28.405979+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:23:58.658282+00:00, confidence not recorded.
  - readme: https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide (fetched 2026-08-28T04:10:28.405979+00:00, sha f4c50ee1a0a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.