2025.10.30
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| | [02 LLM 基础调用](https://github.com/Annyfee/agent-craft/tree/main/02_llm_fundamentals) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153735431) | LLM API 调用 · prompt · 上下文记忆 | ⭐ |
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| | [03 Function Calling 与工具调用](https://github.com/Annyfee/agent-craft/tree/main/03_function_calling_tools) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153866573) | Function Call · 工具函数封装 | ⭐⭐ |
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| ⚙️ **框架篇** | [04 LangChain 基础篇](https://github.com/Annyfee/agent-craft/tree/main/04_langchain_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153978186) | LLM · Prompt · Chain · Memory | ⭐⭐ |
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| | 05 LangChain 进阶篇 | [🏠](https://blog.csdn.net/2401_87328929/article/details/154064397) | Agents · 多链协作 · 缓存 | ⭐⭐⭐ |
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| | [05 LangChain 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/05_langchain_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154064397) | Agents · 多链协作 · 缓存 | ⭐⭐⭐ |
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| | 06 LangGraph 入门 | 🚧 | Flow · Node · Edge 控制 | ⭐⭐⭐ |
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| | 07 RAG 基础篇(Embedding & 向量) | 🚧 | 向量化 · 检索匹配 | ⭐⭐ |
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| | 08 RAG 进阶篇(检索 + 生成) | 🚧 | RAG Pipeline · QA 系统 | ⭐⭐⭐ |
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- **目标**:掌握Langchain Agents的核心机制,构建能调用工具、持续思考、具备记忆的智能体。
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- **内容**:Function Calling|@tool 工具封装|ReAct 循环|Agent 构建|SQL Agent|记忆+流式|开发优化
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> 📌 后续模块将陆续开放(LangGraph、RAG、MCP、多智能体等)
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