docs: update community links and translation strings (#443)

Revised WeChat and Slack community links in both Chinese and English index pages, updated contact info in HugeGraph-AI quickstart docs

and improved translation for 'last modified' in English and Chinese i18n files. Minor change in sticky-footer.css. 8b6aec9

Author: imbajin

cn/docs/_print/index.html

@@ -1494,7 +1494,7 @@
 </span></span></code></pre></div><h4 id=图机器学习>图机器学习</h4><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-python data-lang=python><span style=display:flex><span><span style=color:#204a87;font-weight:700>from</span> <span style=color:#000>pyhugegraph.client</span> <span style=color:#204a87;font-weight:700>import</span> <span style=color:#000>PyHugeClient</span>
 </span></span><span style=display:flex><span><span style=color:#8f5902;font-style:italic># 连接 HugeGraph 并运行机器学习算法</span>
 </span></span><span style=display:flex><span><span style=color:#8f5902;font-style:italic># 详细示例请参阅 hugegraph-ml 文档</span>
-</span></span></code></pre></div><h2 id=-模块>📦 模块</h2><h3 id=hugegraph-llmhttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-llm-ask-deepwikihttpsdeepwikicombadgesvghttpsdeepwikicomapacheincubator-hugegraph-ai><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-llm>hugegraph-llm</a> <a href=https://deepwiki.com/apache/incubator-hugegraph-ai><img src=https://deepwiki.com/badge.svg alt="Ask DeepWiki"></a></h3><p>用于图应用的大语言模型集成：</p><ul><li><strong>GraphRAG</strong>：基于图数据的检索增强生成</li><li><strong>知识图谱构建</strong>：从文本自动构建知识图谱</li><li><strong>自然语言接口</strong>：使用自然语言查询图</li><li><strong>AI 智能体</strong>：智能图分析与推理</li></ul><h3 id=hugegraph-mlhttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-ml><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-ml>hugegraph-ml</a></h3><p>包含 20+ 算法的图机器学习：</p><ul><li><strong>节点分类</strong>：GCN、GAT、GraphSAGE、APPNP 等</li><li><strong>图分类</strong>：DiffPool、P-GNN 等</li><li><strong>图嵌入</strong>：DeepWalk、Node2Vec、GRACE 等</li><li><strong>链接预测</strong>：SEAL、GATNE 等</li></ul><h3 id=hugegraph-python-clienthttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-python-client><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-python-client>hugegraph-python-client</a></h3><p>用于 HugeGraph 操作的 Python 客户端：</p><ul><li><strong>Schema 管理</strong>：定义顶点/边标签和属性</li><li><strong>CRUD 操作</strong>：创建、读取、更新、删除图数据</li><li><strong>Gremlin 查询</strong>：执行图遍历查询</li><li><strong>REST API</strong>：完整的 HugeGraph REST API 覆盖</li></ul><h2 id=-了解更多>📚 了解更多</h2><ul><li><a href=https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/>项目主页</a></li><li><a href=https://github.com/apache/incubator-hugegraph-ai/blob/main/hugegraph-llm/quick_start.md>LLM 快速入门指南</a></li><li><a href=https://deepwiki.com/apache/incubator-hugegraph-ai>DeepWiki AI 文档</a></li></ul><h2 id=-相关项目>🔗 相关项目</h2><ul><li><a href=https://github.com/apache/hugegraph>hugegraph</a> - 核心图数据库</li><li><a href=https://github.com/apache/hugegraph-toolchain>hugegraph-toolchain</a> - 开发工具（加载器、仪表盘等）</li><li><a href=https://github.com/apache/hugegraph-computer>hugegraph-computer</a> - 图计算系统</li></ul><h2 id=-贡献>🤝 贡献</h2><p>我们欢迎贡献！详情请参阅我们的<a href=https://hugegraph.apache.org/docs/contribution-guidelines/>贡献指南</a>。</p><p><strong>开发设置：</strong></p><ul><li>使用 <a href=https://desktop.github.com/>GitHub Desktop</a> 更轻松地管理 PR</li><li>提交 PR 前运行 <code>./style/code_format_and_analysis.sh</code></li><li>报告错误前检查现有问题</li></ul><p><a href=https://github.com/apache/incubator-hugegraph-ai/graphs/contributors><img src="https://contrib.rocks/image?repo=apache/incubator-hugegraph-ai" alt="contributors graph"></a></p><h2 id=-许可证>📄 许可证</h2><p>hugegraph-ai 采用 <a href=https://github.com/apache/incubator-hugegraph-ai/blob/main/LICENSE>Apache 2.0 许可证</a>。</p><h2 id=-联系我们>📞 联系我们</h2><ul><li><strong>GitHub Issues</strong>：<a href=https://github.com/apache/incubator-hugegraph-ai/issues>报告错误或请求功能</a>（响应最快）</li><li><strong>电子邮件</strong>：<a href=mailto:dev@hugegraph.apache.org>dev@hugegraph.apache.org</a>（<a href=https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/>需要订阅</a>）</li><li><strong>微信</strong>：关注“Apache HugeGraph”官方公众号</li></ul><img src=https://raw.githubusercontent.com/apache/hugegraph-doc/master/assets/images/wechat.png alt="Apache HugeGraph WeChat QR Code" width=200></div><div class=td-content style=page-break-before:always><h1 id=pg-0b4da31f88e2852fb8a360769f3c9f28>3.3.1 - HugeGraph-LLM</h1><blockquote><p>本文为中文翻译版本，内容基于英文版进行，我们欢迎您随时提出修改建议。我们推荐您阅读 <a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-llm#readme>AI 仓库 README</a> 以获取最新信息，官网会定期同步更新。</p></blockquote><blockquote><p><strong>连接图数据库与大语言模型的桥梁</strong></p></blockquote><blockquote><p>AI 总结项目文档：<a href=https://deepwiki.com/apache/incubator-hugegraph-ai><img src=https://deepwiki.com/badge.svg alt="Ask DeepWiki"></a></p></blockquote><h2 id=-概述>🎯 概述</h2><p>HugeGraph-LLM 是一个功能强大的工具包，它融合了图数据库和大型语言模型的优势，实现了 HugeGraph 与 LLM 之间的无缝集成，助力开发者构建智能应用。</p><h3 id=核心功能>核心功能</h3><ul><li>🏗️ <strong>知识图谱构建</strong>：利用 LLM 和 HugeGraph 自动构建知识图谱。</li><li>🗣️ <strong>自然语言查询</strong>：通过自然语言（Gremlin/Cypher）操作图数据库。</li><li>🔍 <strong>图增强 RAG</strong>：借助知识图谱提升问答准确性（GraphRAG 和 Graph Agent）。</li></ul><p>更多源码文档，请访问我们的 <a href=https://deepwiki.com/apache/incubator-hugegraph-ai>DeepWiki</a> 页面（推荐）。</p><h2 id=-环境要求>📋 环境要求</h2><blockquote><p>[!IMPORTANT]</p><ul><li><strong>Python</strong>：3.10+（未在 3.12 版本测试）</li><li><strong>HugeGraph Server</strong>：1.3+（推荐 1.5+）</li><li><strong>UV 包管理器</strong>：0.7+</li></ul></blockquote><h2 id=-快速开始>🚀 快速开始</h2><p>请选择您偏好的部署方式：</p><h3 id=方案一docker-compose推荐>方案一：Docker Compose（推荐）</h3><p>这是同时启动 HugeGraph Server 和 RAG 服务的最快方法：</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span><span style=color:#8f5902;font-style:italic># 1. 设置环境</span>
+</span></span></code></pre></div><h2 id=-模块>📦 模块</h2><h3 id=hugegraph-llmhttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-llm-ask-deepwikihttpsdeepwikicombadgesvghttpsdeepwikicomapacheincubator-hugegraph-ai><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-llm>hugegraph-llm</a> <a href=https://deepwiki.com/apache/incubator-hugegraph-ai><img src=https://deepwiki.com/badge.svg alt="Ask DeepWiki"></a></h3><p>用于图应用的大语言模型集成：</p><ul><li><strong>GraphRAG</strong>：基于图数据的检索增强生成</li><li><strong>知识图谱构建</strong>：从文本自动构建知识图谱</li><li><strong>自然语言接口</strong>：使用自然语言查询图</li><li><strong>AI 智能体</strong>：智能图分析与推理</li></ul><h3 id=hugegraph-mlhttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-ml><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-ml>hugegraph-ml</a></h3><p>包含 20+ 算法的图机器学习：</p><ul><li><strong>节点分类</strong>：GCN、GAT、GraphSAGE、APPNP 等</li><li><strong>图分类</strong>：DiffPool、P-GNN 等</li><li><strong>图嵌入</strong>：DeepWalk、Node2Vec、GRACE 等</li><li><strong>链接预测</strong>：SEAL、GATNE 等</li></ul><h3 id=hugegraph-python-clienthttpsgithubcomapacheincubator-hugegraph-aitreemainhugegraph-python-client><a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-python-client>hugegraph-python-client</a></h3><p>用于 HugeGraph 操作的 Python 客户端：</p><ul><li><strong>Schema 管理</strong>：定义顶点/边标签和属性</li><li><strong>CRUD 操作</strong>：创建、读取、更新、删除图数据</li><li><strong>Gremlin 查询</strong>：执行图遍历查询</li><li><strong>REST API</strong>：完整的 HugeGraph REST API 覆盖</li></ul><h2 id=-了解更多>📚 了解更多</h2><ul><li><a href=https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/>项目主页</a></li><li><a href=https://github.com/apache/incubator-hugegraph-ai/blob/main/hugegraph-llm/quick_start.md>LLM 快速入门指南</a></li><li><a href=https://deepwiki.com/apache/incubator-hugegraph-ai>DeepWiki AI 文档</a></li></ul><h2 id=-相关项目>🔗 相关项目</h2><ul><li><a href=https://github.com/apache/hugegraph>hugegraph</a> - 核心图数据库</li><li><a href=https://github.com/apache/hugegraph-toolchain>hugegraph-toolchain</a> - 开发工具（加载器、仪表盘等）</li><li><a href=https://github.com/apache/hugegraph-computer>hugegraph-computer</a> - 图计算系统</li></ul><h2 id=-贡献>🤝 贡献</h2><p>我们欢迎贡献！详情请参阅我们的<a href=https://hugegraph.apache.org/docs/contribution-guidelines/>贡献指南</a>。</p><p><strong>开发设置：</strong></p><ul><li>使用 <a href=https://desktop.github.com/>GitHub Desktop</a> 更轻松地管理 PR</li><li>提交 PR 前运行 <code>./style/code_format_and_analysis.sh</code></li><li>报告错误前检查现有问题</li></ul><p><a href=https://github.com/apache/incubator-hugegraph-ai/graphs/contributors><img src="https://contrib.rocks/image?repo=apache/incubator-hugegraph-ai" alt="contributors graph"></a></p><h2 id=-许可证>📄 许可证</h2><p>hugegraph-ai 采用 <a href=https://github.com/apache/incubator-hugegraph-ai/blob/main/LICENSE>Apache 2.0 许可证</a>。</p><h2 id=-联系我们>📞 联系我们</h2><ul><li><strong>GitHub Issues</strong>：<a href=https://github.com/apache/incubator-hugegraph-ai/issues>报告错误或请求功能</a>（响应最快）</li><li><strong>电子邮件</strong>：<a href=mailto:dev@hugegraph.apache.org>dev@hugegraph.apache.org</a>（<a href=https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/>需要订阅</a>）</li><li><strong>微信</strong>：关注 &ldquo;Apache HugeGraph&rdquo; 微信公众号</li></ul><img src=https://raw.githubusercontent.com/apache/hugegraph-doc/master/assets/images/wechat.png alt="Apache HugeGraph WeChat QR Code" width=200></div><div class=td-content style=page-break-before:always><h1 id=pg-0b4da31f88e2852fb8a360769f3c9f28>3.3.1 - HugeGraph-LLM</h1><blockquote><p>本文为中文翻译版本，内容基于英文版进行，我们欢迎您随时提出修改建议。我们推荐您阅读 <a href=https://github.com/apache/incubator-hugegraph-ai/tree/main/hugegraph-llm#readme>AI 仓库 README</a> 以获取最新信息，官网会定期同步更新。</p></blockquote><blockquote><p><strong>连接图数据库与大语言模型的桥梁</strong></p></blockquote><blockquote><p>AI 总结项目文档：<a href=https://deepwiki.com/apache/incubator-hugegraph-ai><img src=https://deepwiki.com/badge.svg alt="Ask DeepWiki"></a></p></blockquote><h2 id=-概述>🎯 概述</h2><p>HugeGraph-LLM 是一个功能强大的工具包，它融合了图数据库和大型语言模型的优势，实现了 HugeGraph 与 LLM 之间的无缝集成，助力开发者构建智能应用。</p><h3 id=核心功能>核心功能</h3><ul><li>🏗️ <strong>知识图谱构建</strong>：利用 LLM 和 HugeGraph 自动构建知识图谱。</li><li>🗣️ <strong>自然语言查询</strong>：通过自然语言（Gremlin/Cypher）操作图数据库。</li><li>🔍 <strong>图增强 RAG</strong>：借助知识图谱提升问答准确性（GraphRAG 和 Graph Agent）。</li></ul><p>更多源码文档，请访问我们的 <a href=https://deepwiki.com/apache/incubator-hugegraph-ai>DeepWiki</a> 页面（推荐）。</p><h2 id=-环境要求>📋 环境要求</h2><blockquote><p>[!IMPORTANT]</p><ul><li><strong>Python</strong>：3.10+（未在 3.12 版本测试）</li><li><strong>HugeGraph Server</strong>：1.3+（推荐 1.5+）</li><li><strong>UV 包管理器</strong>：0.7+</li></ul></blockquote><h2 id=-快速开始>🚀 快速开始</h2><p>请选择您偏好的部署方式：</p><h3 id=方案一docker-compose推荐>方案一：Docker Compose（推荐）</h3><p>这是同时启动 HugeGraph Server 和 RAG 服务的最快方法：</p><div class=highlight><pre tabindex=0 style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-bash data-lang=bash><span style=display:flex><span><span style=color:#8f5902;font-style:italic># 1. 设置环境</span>
 </span></span><span style=display:flex><span>cp docker/env.template docker/.env
 </span></span><span style=display:flex><span><span style=color:#8f5902;font-style:italic># 编辑 docker/.env，将 PROJECT_PATH 设置为您的实际项目路径</span>
 </span></span><span style=display:flex><span>