LLM application development tutorials
A beginner-oriented Chinese tutorial that teaches LLM application development through hands-on projects using LangChain, covering API calls, knowledge bases, RAG, and Streamlit deployment.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
A comprehensive Chinese tutorial for LLM app development with an agent focus; choose it for an equally beginner-friendly but agent-centric path.
🚀 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
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
A knowledge-guide style resource for agents, LangGraph, and advanced RAG with interview prep; choose it as a reference instead of a step-by-step course.
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
A narrower Chinese LangChain beginner guide; use it for a quicker intro to LangChain alone.
LangChain 的中文入门教程
A Korean-language LangChain tutorial; choose it if Korean is your preferred learning language.
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
A focused hands-on tutorial for building Agentic RAG with LangGraph; choose it for that narrow task.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
These projects were analysed and named llm-universe among their alternatives. The relationship is not symmetric — how llm-universe rates them is a separate judgement, made when llm-universe is analysed in its own right.
calls llm-universe “Choose when you want beginner LLM application development basics rather than agent-specific content.”
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成
calls llm-universe “Choose for a beginner LLM application-development tutorial; it is app-only, without interview or model internals.”
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈