<![CDATA[YuiGod的博客]]>https://blog.youkuaiyun.com/RyanYuizh-cnhttps://blog.youkuaiyun.com/<![CDATA[《从零开始DeepSeek R1搭建本地知识库问答系统》五：实现问答系统前端 UI 框架，基于 vue3 + typescript + ElementPlus]]>https://blog.youkuaiyun.com/RyanYui/article/details/146179346https://blog.youkuaiyun.com/RyanYui/article/details/146179346RyanYuiTue, 11 Mar 2025 15:44:52 +0800<![CDATA[《从零开始DeepSeek R1搭建本地知识库问答系统》四：FastApi 框架搭建本地知识库问答Web Server端]]>https://blog.youkuaiyun.com/RyanYui/article/details/146179207https://blog.youkuaiyun.com/RyanYui/article/details/146179207RyanYuiTue, 11 Mar 2025 15:43:03 +0800<![CDATA[《从零开始DeepSeek R1搭建本地知识库问答系统》三：基于LangChain构建本地知识库问答RAG应用]]>https://blog.youkuaiyun.com/RyanYui/article/details/146178923https://blog.youkuaiyun.com/RyanYui/article/details/146178923RyanYuiTue, 11 Mar 2025 15:41:35 +0800文本分割——> 向量化（embedding）——>数据入库。2. 应用阶段：用户提问——>数据检索（召回）——>注入Prompt——>LLM生成答案。想要构建 RAG 应用，通常需要几个步骤：1. 使用`LangChain`的文档加载器（如`Directo]]><![CDATA[《从零开始DeepSeek R1搭建本地知识库问答系统》二：Ollama 部署 DeepSeek R1 蒸馏模型及Api测试]]>https://blog.youkuaiyun.com/RyanYui/article/details/146178603https://blog.youkuaiyun.com/RyanYui/article/details/146178603RyanYuiTue, 11 Mar 2025 15:38:54 +0800<![CDATA[《从零开始DeepSeek R1搭建本地知识库问答系统》一：利用WSL2搭建Linux子系统并设置运行环境]]>https://blog.youkuaiyun.com/RyanYui/article/details/146178025https://blog.youkuaiyun.com/RyanYui/article/details/146178025RyanYuiTue, 11 Mar 2025 15:34:11 +0800<![CDATA[最详细vscode为uniapp，vite项目配置ESlint9+Prettier+Stylelint+husky规范]]>https://blog.youkuaiyun.com/RyanYui/article/details/144572734https://blog.youkuaiyun.com/RyanYui/article/details/144572734RyanYuiThu, 19 Dec 2024 00:51:42 +0800<![CDATA[vitepress静态网站添加访问量统计]]>https://blog.youkuaiyun.com/RyanYui/article/details/144140350https://blog.youkuaiyun.com/RyanYui/article/details/144140350RyanYuiFri, 29 Nov 2024 16:31:21 +0800