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2025.11.7

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2287551746@qq.com
2025-11-07 11:02:15 +08:00
parent b1ea644e70
commit 0513f4ffeb
2 changed files with 19 additions and 18 deletions
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07_rag_advanced/04_memory_rag_agent.py
+1
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@@ -32,6 +32,7 @@ def build_rag_chain(llm_instance):
if not os.path.exists(Persist_directory): if not os.path.exists(Persist_directory):
raise FileNotFoundError(f'索引目录{Persist_directory}未找到，请先运行 build_index.py') raise FileNotFoundError(f'索引目录{Persist_directory}未找到，请先运行 build_index.py')
# 链接向量数据库
embedding_model = HuggingFaceEmbeddings(model_name=Embedding_model) embedding_model = HuggingFaceEmbeddings(model_name=Embedding_model)
db = Chroma( db = Chroma(
persist_directory=Persist_directory, persist_directory=Persist_directory,
README.md
+10 -10
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@@ -24,7 +24,7 @@
> 🔥 已更新至 07 Rag 进阶篇，持续更新中！ > 🔥 已更新至 07 Rag 进阶篇，持续更新中！
| 章节 | 模块 | 博客 | 核心关键词 | 难度 | | 章节 | 模块 | 博客 | 核心关键词 | 难度 |
|:-----------:|:--------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------:|:------------------------------------------|:----:| |:-----------:|:--------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------:|:----------------------------------------------------|:-----:|
| 🏗️ **基础篇** | [01 Agent 入门 & 环境搭建](https://github.com/Annyfee/agent-craft/tree/main/01_agent_introduction) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153729555) | OpenAI API | ⭐ | | 🏗️ **基础篇** | [01 Agent 入门 & 环境搭建](https://github.com/Annyfee/agent-craft/tree/main/01_agent_introduction) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153729555) | OpenAI API | ⭐ |
| | [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 | ⭐ | | | [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 | ⭐ |
| | [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 | ⭐⭐ | | | [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 | ⭐⭐ |
@@ -32,15 +32,15 @@
| | [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 · 缓存 · 流式输出 | ⭐⭐⭐ | | | [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 · 缓存 · 流式输出 | ⭐⭐⭐ |
| | [06 RAG 基础篇](https://github.com/Annyfee/agent-craft/tree/main/06_rag_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154230067) | RAG概念 · Split · Embedding · FAISS · RAG 链 | ⭐⭐ | | | [06 RAG 基础篇](https://github.com/Annyfee/agent-craft/tree/main/06_rag_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154230067) | RAG概念 · Split · Embedding · FAISS · RAG 链 | ⭐⭐ |
| | [07 RAG 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/07_rag_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154408744) | Chroma · Reranker · RAG工具化 · 集成 | ⭐⭐⭐ | | | [07 RAG 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/07_rag_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154408744) | Chroma · Reranker · RAG工具化 · 集成 | ⭐⭐⭐ |
| | 08 LangGraph 入门 | 🚧撰写中 | Flow · Node · Edge 控制 | ⭐⭐⭐ | | | 08 LangGraph 基础 | 🚧撰写中 | `State` · `Node` · `Conditional Edge` · RAG+反思 | ⭐⭐⭐ |
| 🧠 **智能篇** | 09 MCP 基础 | 🚧 | MCP 协议 · 客户端安装 | ⭐⭐ | | | 09 LangGraph 进阶 | 🚧 | `Multi-Agent` · `Human-in-the-Loop` · “总控-员工”架构 | ⭐⭐⭐⭐ |
| | 10 MCP 进阶 | 🚧 | 在线模型接入 · 多轮任务 | ⭐⭐⭐ | | 🧠 **智能篇** | 10 MCP 基础 (Client) | 🚧 | `MCP` 协议 · `CherryStudio` · 消费公共 MCP | ⭐⭐⭐ |
| | 11 MCP 高级 | 🚧 | 多服务组合 · 并发调用 | ⭐⭐⭐⭐ | | | 11 MCP 进阶 (Server) | 🚧 | `Streamable HTTP` · `src layout` · 构建私有 MCP | ⭐⭐⭐⭐ |
| | 12 多步骤任务规划（MCP Task Planning） | 🚧 | Task Planning · CoT | ⭐⭐⭐ | | | 12 Swarm & Agents SDK | 🚧 | `Swarm` · `Handoff` · “航空公司客服”项目 | ⭐⭐⭐⭐ |
| | 13 多智能体协作 | 🚧 | Multi-Agent · 通信机制 | ⭐⭐⭐⭐ | | 🏁 **实战篇** | 13 Streamlit 快速入门 | 🚧 | `st.chat_input` · `st.session_state` · 封装 RAG Agent | ⭐⭐⭐ |
| | 14 综合案例实战 | 🚧 | LangChain + RAG + Tool + Memory | ⭐⭐⭐⭐ | | | 14 综合实战项目 | 🚧 | "后端双模" (LangGraph+Swarm) + RAG + MCP + Vercel | ⭐⭐⭐⭐⭐ |
| 🚀 **工程篇** | 15 部署与本地化 | 🚧 | Ollama · LM Studio · API代理 | ⭐⭐⭐ | | 🚀 **工程篇** | 15 部署与本地化 | 🚧 | `Ollama` · `LM Studio` · `LangServe` | ⭐⭐⭐ |
| | 16 Agent SDK 封装 | 🚧 | 模块化封装 · SDK 架构 | ⭐⭐⭐⭐ | | | **16 项目打包与发布** | 🚧 | `pyproject.toml` · `pip build` · `setuptools` · 发布 | ⭐⭐⭐⭐ |
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