本项目是一个系统化的 LangChain AI Agent 学习教程,涵盖从零基础到生产级应用的完整路径。项目包含 33 章学习文档和 77 个可运行示例代码,按九大模块递进组织:基础入门、核心机制(Chain/RAG/Memory)、Agent 构建、LangGraph 进阶、生产化实践、模型微调、评估优化、实战案例及服务化部署。默认使用 GLM(智谱 AI)作为 LLM 提供商,同时支持 DeepSeek 和 Qwen(通义千问)。每个章节配有概念讲解与动手实践,适合有 Python 基础的开发者在 8-9 周内系统掌握 AI Agent 应用开发。
☆28Jun 9, 2026Updated 4 months ago
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