LangChain tutorial / LLM app development guide
A Chinese-language beginner's tutorial for LangChain, explaining concepts and usage for building LLM applications.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Direct Korean-language LangChain tutorial; choose it if you read Korean instead of Chinese.
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Broader LLM tutorial set covering LangChain plus other tools; choose for a wider overview.
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
A comprehensive Chinese AI-agent tutorial covering LangChain; choose for a broader curriculum.
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Older English LangChain tutorial notebooks; use if you want pre-update examples.
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
These projects were analysed and named LangChain-Chinese-Getting-Started-Guide among their alternatives. The relationship is not symmetric — how LangChain-Chinese-Getting-Started-Guide rates them is a separate judgement, made when LangChain-Chinese-Getting-Started-Guide is analysed in its own right.
calls LangChain-Chinese-Getting-Started-Guide “A narrower Chinese LangChain beginner guide; use it for a quicker intro to LangChain alone.”
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/