(hugegraph-doc) branch asf-site updated: docs: describe HugeGraph as full-stack graph system (#456)

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The following commit(s) were added to refs/heads/asf-site by this push:
     new e2d4714f docs: describe HugeGraph as full-stack graph system (#456)
e2d4714f is described below

commit e2d4714fac5e2f7c8a4f7d906ce7d4b4cb30c24f
Author: imbajin <[email protected]>
AuthorDate: Mon Mar 9 12:42:16 2026 +0000

    docs: describe HugeGraph as full-stack graph system (#456)
    
    * docs: describe HugeGraph as full-stack graph system
    
    Reword documentation to present HugeGraph as a full-stack graph system 
covering graph database (OLTP), graph computing (OLAP) and graph AI. Updated 
/docs/introduction/_index.md to expand the project summary and highlight 
GraphRAG/graph
    
    ---------
    
    Co-authored-by: Copilot <[email protected]> 
5a3027b0b143afe49c7031d62a8bc068d1237afb
---
 blog/_print/index.html                  |  2 +-
 cn/blog/_print/index.html               |  2 +-
 cn/docs/_print/index.html               | 28 +++++++++++++++-----------
 cn/docs/guides/_print/index.html        |  2 +-
 cn/docs/guides/architectural/index.html |  8 ++++----
 cn/docs/guides/index.xml                |  2 +-
 cn/docs/index.xml                       |  2 +-
 cn/docs/introduction/_print/index.html  | 35 ++++++++++++++++++---------------
 cn/docs/introduction/index.html         | 35 ++++++++++++++++++---------------
 cn/sitemap.xml                          |  2 +-
 docs/_print/index.html                  | 23 ++++++++++++----------
 docs/guides/_print/index.html           |  2 +-
 docs/guides/architectural/index.html    | 13 +++++-------
 docs/guides/index.xml                   |  2 +-
 docs/index.xml                          |  2 +-
 docs/introduction/_print/index.html     | 26 +++++++++++++-----------
 docs/introduction/index.html            | 26 +++++++++++++-----------
 en/sitemap.xml                          |  2 +-
 sitemap.xml                             |  2 +-
 19 files changed, 115 insertions(+), 101 deletions(-)

diff --git a/blog/_print/index.html b/blog/_print/index.html
index cbd5a926..ffd5e04e 100644
--- a/blog/_print/index.html
+++ b/blog/_print/index.html
@@ -3,7 +3,7 @@ Here you will find technical articles, best practices, and 
community updates fro
 
 HugeGraph …"><meta property="og:title" content="Blog"><meta 
property="og:description" content="Apache HugeGraph site"><meta 
property="og:type" content="website"><meta property="og:url" 
content="/blog/"><meta property="og:site_name" content="HugeGraph"><meta 
itemprop=name content="Blog"><meta itemprop=description content="Apache 
HugeGraph site"><meta name=twitter:card content="summary"><meta 
name=twitter:title content="Blog"><meta name=twitter:description 
content="Apache HugeGraph site">< [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
n=t.textContent.trim();(n.match(/^(graph|flowchart|sequenceDiagram|classDiagram|pie|gitgraph|erDiagram|journey|gantt|stateDiagram|mindmap|timeline|quadrantChart)/m)||n.includes("-->")||n.includes("->")||n.includes("style
 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/blog/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Blog</h1><ul><li><a 
href=#pg-017e54bfc341e83f5dbd291556d27936>HugeGraph (OLTP)</a></li><ul><li><a 
href=#pg-c9efd20eee29b9b777fb17babb36b99e>ToplingDB</a></li><ul><li><a 
href=#pg-c0c059d926fe77d26123de0d5d36ea32>ToplingDB Quick Start</a></li><li><a 
href=#pg-d18422f3f809936c08509c172dda5102>ToplingDB YAML configuration 
file</a></li></ul>< [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/blog/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Blog</h1><ul><li><a 
href=#pg-017e54bfc341e83f5dbd291556d27936>HugeGraph (OLTP)</a></li><ul><li><a 
href=#pg-c9efd20eee29b9b777fb17babb36b99e>ToplingDB</a></li><ul><li><a 
href=#pg-c0c059d926fe77d26123de0d5d36ea32>ToplingDB Quick Start</a></li><li><a 
href=#pg-d18422f3f809936c08509c172dda5102>ToplingDB YAML configuration 
file</a></li></ul>< [...]
 </span></span><span style=display:flex><span>serializer=binary
 </span></span><span style=display:flex><span>rocksdb.data_path=.
 </span></span><span style=display:flex><span>rocksdb.wal_path=.
diff --git a/cn/blog/_print/index.html b/cn/blog/_print/index.html
index f2261d26..2b104be9 100644
--- a/cn/blog/_print/index.html
+++ b/cn/blog/_print/index.html
@@ -5,7 +5,7 @@ HugeGraph (OLTP): 图数据库核心功能、性能优化、存储引擎等
 HugeGraph-AI: AI 与图计算结合的应用案例
 HugeGraph Computing (OLAP):  …"><meta property="og:title" content="Blog"><meta 
property="og:description" content="Apache HugeGraph 官网"><meta 
property="og:type" content="website"><meta property="og:url" 
content="/cn/blog/"><meta property="og:site_name" content="HugeGraph"><meta 
itemprop=name content="Blog"><meta itemprop=description content="Apache 
HugeGraph 官网"><meta name=twitter:card content="summary"><meta 
name=twitter:title content="Blog"><meta name=twitter:description 
content="Apache [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
n=t.textContent.trim();(n.match(/^(graph|flowchart|sequenceDiagram|classDiagram|pie|gitgraph|erDiagram|journey|gantt|stateDiagram|mindmap|timeline|quadrantChart)/m)||n.includes("-->")||n.includes("->")||n.includes("style
 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/blog/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Blog</h1><ul><li><a 
href=#pg-017e54bfc341e83f5dbd291556d27936>HugeGraph (OLTP)</a></li><ul><li><a 
href=#pg-c9efd20eee29b9b777fb17babb36b99e>ToplingDB</a></li><ul><li><a 
href=#pg-c0c059d926fe77d26123de0d5d36ea32>ToplingDB Quick Start</a></li><li><a 
href=#pg-d18422f3f809936c08509c172dda5102>ToplingDB YAML configuration 
file</a></li></u [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/blog/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Blog</h1><ul><li><a 
href=#pg-017e54bfc341e83f5dbd291556d27936>HugeGraph (OLTP)</a></li><ul><li><a 
href=#pg-c9efd20eee29b9b777fb17babb36b99e>ToplingDB</a></li><ul><li><a 
href=#pg-c0c059d926fe77d26123de0d5d36ea32>ToplingDB Quick Start</a></li><li><a 
href=#pg-d18422f3f809936c08509c172dda5102>ToplingDB YAML configuration 
file</a></li></u [...]
 </span></span><span style=display:flex><span>serializer=binary
 </span></span><span style=display:flex><span>rocksdb.data_path=.
 </span></span><span style=display:flex><span>rocksdb.wal_path=.
diff --git a/cn/docs/_print/index.html b/cn/docs/_print/index.html
index 9af4a8d8..6d8014a6 100644
--- a/cn/docs/_print/index.html
+++ b/cn/docs/_print/index.html
@@ -27,17 +27,21 @@ HugeGraph Server 快速 …"><meta property="og:title" 
content="Documentation"><
 </span></span><span style=display:flex><span>│  │  Hubble (UI) | Loader | 
Client (Java/Go/Python) | Tools   │   │
 </span></span><span style=display:flex><span>│  
└───────────────────────────────────────────────────────────┘   │
 </span></span><span 
style=display:flex><span>└─────────────────────────────────────────────────────────────────┘
-</span></span></code></pre></div><h3 
id=核心组件>核心组件</h3><ul><li><strong>HugeGraph Server</strong> - 图数据库核心，REST API + 
Gremlin + Cypher 支持</li><li><strong>HugeGraph Toolchain</strong> - 客户端 
SDK、数据导入、可视化、运维工具</li><li><strong>HugeGraph Computer</strong> - 分布式图计算 (Vermeer 
高性能内存版 / Computer 海量存储外存版)</li><li><strong>HugeGraph-AI</strong> - 
GraphRAG、知识图谱构建、20+ 图机器学习算法</li></ul><h3 
id=部署模式>部署模式</h3><table><thead><tr><th>模式</th><th>适用场景</th><th>数据规模</th></tr></thead><tbody><tr><td><strong>单机版</stro
 [...]
-实现了<a href=https://tinkerpop.apache.org>Apache TinkerPop3</a>框架及完全兼容<a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a>查询语言，
-同时支持 <a href=https://opencypher.org/>Cypher</a> 查询语言（OpenCypher 标准），
-具备完善的工具链组件，助力用户轻松构建基于图数据库之上的应用和产品。HugeGraph 
支持百亿以上的顶点和边快速导入，并提供毫秒级的关联关系查询能力（OLTP），
-并支持大规模分布式图分析（OLAP）。</p><p>HugeGraph 
典型应用场景包括深度关系探索、关联分析、路径搜索、特征抽取、数据聚类、社区检测、知识图谱等，
-适用业务领域有如网络安全、电信诈骗、金融风控、广告推荐、社交网络和智能机器人等。</p><p>本系统的主要应用场景是解决反欺诈、威胁情报、黑产打击等业务的图数据存储和建模分析需求，在此基础上逐步扩展及支持了更多的通用图应用。</p><h3
 id=features>Features</h3><p>HugeGraph 
支持在线及离线环境下的图操作，支持批量导入数据，支持高效的复杂关联关系分析，并且能够与大数据平台无缝集成。
-HugeGraph 支持多用户并行操作，用户可输入 Gremlin/Cypher 查询语句，并及时得到图查询结果，也可在用户程序中调用 HugeGraph 
API 进行图分析或查询。</p><p>本系统具备如下特点：</p><ul><li>易用：HugeGraph 支持 Gremlin/Cypher 图查询语言与 
RESTful API，同时提供图检索常用接口，具备功能齐全的周边工具，轻松实现基于图的各种查询分析运算。</li><li>高效：HugeGraph 
在图存储和图计算方面做了深度优化，提供多种批量导入工具，轻松完成百亿级数据快速导入，通过优化过的查询达到图检索的毫秒级响应。支持数千用户并发的在线实时操作。</li><li>通用：HugeGraph
 支持 Apache Gremlin 标准图查询语言和 Property Graph 标准图建模方法，支持基于图的 OLTP 和 OLAP 方案。集成 
Apache Hadoop 及 Apache Spark 大数据平台。</li><li>可扩展：支持分布式存储、数据多副本及横向扩容，内置�
 �后端存储引擎，也可插件式轻 [...]
-可视化管理平台，一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程；</li><li><a 
href=/cn/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>：HugeGraph-Tools
 是 HugeGraph 的部署和管理工具，包括管理图、备份/恢复、Gremlin 执行等功能。</li></ul></li><li><a 
href=/cn/docs/quickstart/computing/hugegraph-computer>HugeGraph-Computer</a>：HugeGraph-Computer
 是分布式图处理系统 (OLAP)。
-它是 <a href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a> 
的一个实现。它可以运行在 Kubernetes/Yarn
-等集群上，支持超大规模图计算。同时提供 Vermeer 轻量级图计算引擎，适合快速开始和中小规模图分析。</li><li><a 
href=/cn/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>：HugeGraph-AI 是 HugeGraph 
独立的 AI
-组件，提供 LLM/GraphRAG 智能问答、自动化知识图谱构建、图神经网络训练/推理、Python-Client 等功能，内置 20+ 
图机器学习算法，持续更新中。</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: 
使用途中出现问题或提供功能性建议，可通过此反馈 (推荐)</li><li>邮件反馈：<a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/>邮箱订阅方式</a>)</li><li>SEC
 反馈： <a href=mailto:[email protected]>[email protected] 
[...]
+</span></span></code></pre></div><h3 
id=核心组件>核心组件</h3><ul><li><strong>HugeGraph Server</strong> - 图数据库核心，REST API + 
Gremlin + Cypher 支持</li><li><strong>HugeGraph Toolchain</strong> - 客户端 
SDK、数据导入、可视化、运维工具</li><li><strong>HugeGraph Computer</strong> - 分布式图计算 (Vermeer 
高性能内存版 / Computer 海量存储外存版)</li><li><strong>HugeGraph-AI</strong> - 
GraphRAG、知识图谱构建、20+ 图机器学习算法</li></ul><h3 
id=部署模式>部署模式</h3><table><thead><tr><th>模式</th><th>适用场景</th><th>数据规模</th></tr></thead><tbody><tr><td><strong>单机版</stro
 [...]
+覆盖<strong>图数据库</strong>（OLTP 实时查询）、<strong>图计算</strong>（OLAP 大规模分析）与<strong>图 
AI</strong>（GraphRAG / 图机器学习）三大领域。</p><p>HugeGraph 支持百亿以上的顶点和边的快速存储与查询，具备出色的 
OLTP 性能。
+其图引擎完全兼容 <a href=https://tinkerpop.apache.org>Apache TinkerPop 3</a> 框架，同时支持
+<a href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> 和 <a 
href=https://en.wikipedia.org/wiki/Cypher>Cypher</a>（OpenCypher 
标准）双查询语言。</p><p><strong>典型应用场景：</strong> 
深度关系探索、关联分析、路径搜索、特征抽取、社区检测、知识图谱等，<br><strong>适用领域：</strong> 
网络安全、电信反欺诈、金融风控、广告推荐、社交网络、智能问答等。</p><hr><h3 id=生态系统全景>生态系统全景</h3><div 
class=highlight><pre tabindex=0 
style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code 
class=language-fallback data-lang=fallback><span 
style=display:flex><span>┌───── [...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=核心组件>核心组件</h3><h4 
id=-hugegraph-server--图引擎oltp>🗄️ HugeGraph Server — 图引擎（OLTP）</h4><p>HugeGraph 
项目的核心模块，提供高性能的图数据存储与实时查询能力：</p><ul><li><strong>图引擎核心</strong>：支持属性图（Property 
Graph）建模，包含 VertexLabel、EdgeLabel、PropertyKey、IndexLabel 完整 Schema 
管理</li><li><strong>双查询语言</strong>：全面兼容 Gremlin（TinkerPop 3）和 
Cypher（OpenCypher）</li><li><strong>REST API</strong>：内置 REST Server，提供 RESTful 
图操作接口</li><li><strong>多类型索引</strong>：精确查询、范围查询、复合条件组合查询</li><li><st [...]
+</span></span></code></pre></div><hr><h3 
id=快速入门导航>快速入门导航</h3><table><thead><tr><th>我想要&mldr;</th><th>从这里开始</th></tr></thead><tbody><tr><td>🚀
 <strong>快速体验</strong></td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>Docker 
部署</a></td></tr><tr><td>🔍 <strong>运行图查询</strong> (OLTP)</td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>HugeGraph Server 
快速开始</a></td></tr><tr><td>📈 <strong>大规模图计算</strong> (OLAP)</td><td><a 
href=/cn/docs/quickstart/computing/hugegraph-compute [...]
 这两种写法含义上并明显差异，可以这么区分：<code>HugeGraph-Server</code> 
表示服务端相关组件代码，<code>HugeGraphServer</code> 表示服务进程。</p></blockquote><h3 id=2-依赖>2 
依赖</h3><h4 id=21-安装-java-11-jdk-11>2.1 安装 Java 11 (JDK 11)</h4><p>请考虑在 Java 11 
的环境上启动 <code>HugeGraph-Server</code>(在 1.5.0 版前，会保留对 Java 8 
的基本兼容)</p><p><strong>在往下阅读之前先执行 <code>java -version</code> 命令确认 jdk 
版本</strong></p><blockquote><p>注：使用 Java 8 启动 HugeGraph-Server 
会失去一些<strong>安全性</strong>的保障，也会降低性能相关指标 (请尽早升级/迁移，1.7.0 
不再支持)</p></blockquote><h3 id=3-部署>3 部 [...]
 </span></span></span><span style=display:flex><span><span 
style=color:#f8f8f8;text-decoration:underline></span><span 
style=color:#204a87;font-weight:700>services</span><span 
style=color:#000;font-weight:700>:</span><span 
style=color:#f8f8f8;text-decoration:underline>
 </span></span></span><span style=display:flex><span><span 
style=color:#f8f8f8;text-decoration:underline>  </span><span 
style=color:#204a87;font-weight:700>server</span><span 
style=color:#000;font-weight:700>:</span><span 
style=color:#f8f8f8;text-decoration:underline>
@@ -9259,7 +9263,7 @@ P.gte(18)），properties 如果为 null 表示任意属性均可，如果属性
 </span></span><span style=display:flex><span><span 
style=color:#000>gremlin</span><span 
style=color:#ce5c00;font-weight:700>&gt;</span> <span 
style=color:#ce5c00;font-weight:700>:&gt;</span> <span 
style=color:#5c35cc;font-weight:700>@script</span>
 </span></span><span style=display:flex><span><span 
style=color:#ce5c00;font-weight:700>==&gt;</span><span 
style=color:#0000cf;font-weight:700>6</span>
 </span></span><span style=display:flex><span><span 
style=color:#000>gremlin</span><span 
style=color:#ce5c00;font-weight:700>&gt;</span> 
-</span></span></code></pre></div><p>更多关于 Gremlin-Console 的使用，请参考 <a 
href=http://tinkerpop.apache.org/docs/current/reference/>Tinkerpop 
官网</a>。</p></div><div class=td-content style=page-break-before:always><h1 
id=pg-d2c6535126cca927d2a9c893abde92a0>6 - GUIDES</h1></div><div 
class=td-content><h1 id=pg-dcb89d888ea6f4146ace522d76fe2776>6.1 - HugeGraph 
Architecture Overview</h1><h3 id=1-概述>1 概述</h3><p>作为一款通用的图数据库产品，HugeGraph 
需具备图数据库的基本功能。HugeGraph 支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现了 <a href=ht [...]
+</span></span></code></pre></div><p>更多关于 Gremlin-Console 的使用，请参考 <a 
href=http://tinkerpop.apache.org/docs/current/reference/>Tinkerpop 
官网</a>。</p></div><div class=td-content style=page-break-before:always><h1 
id=pg-d2c6535126cca927d2a9c893abde92a0>6 - GUIDES</h1></div><div 
class=td-content><h1 id=pg-dcb89d888ea6f4146ace522d76fe2776>6.1 - HugeGraph 
Architecture Overview</h1><h3 id=1-概述>1 概述</h3><p>作为一套覆盖<strong>图数据库、图计算与图 
AI</strong> 的全栈图系统，HugeGraph 以高性能图引擎（HugeGraph Server）为核心，支持 OLTP 和 [...]
 RDF和Property Graph都是最基础、最有名的图表示模式，都能够表示各种图的实体关系建模。
 RDF是W3C标准，而Property Graph是工业标准，受到广大图数据库厂商的广泛支持。HugeGraph目前采用Property 
Graph。</p><p>HugeGraph对应的存储概念模型也是参考Property 
Graph而设计的，具体示例详见下图：（<em>此图为旧版设计已过时，请忽略它，后续更新</em>）</p><p><img 
src=/docs/images/design/PropertyGraph.png alt=image></p><p>在HugeGraph内部，每个顶点 / 
边由唯一的 VertexId / EdgeId 标识，属性存储在对应点 / 边内部。而顶点与顶点之间的关系 / 
映射则是通过边来存储的。</p><p>顶点属性值通过边指针方式存储时，如果要更新一个顶点特定的属性值直接通过覆盖写入即可，其弊端是冗余存储了VertexId；
 如果要更新关系的属性需要通过read-and-modify方式，先读取所有属性，修改部分属性，然后再写入存储系统，更新效率较低。
diff --git a/cn/docs/guides/_print/index.html b/cn/docs/guides/_print/index.html
index 66359de1..bf400471 100644
--- a/cn/docs/guides/_print/index.html
+++ b/cn/docs/guides/_print/index.html
@@ -1,6 +1,6 @@
 <!doctype html><html lang=cn class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/cn/docs/guides/><link rel=alternate type=application/r [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
n=t.textContent.trim();(n.match(/^(graph|flowchart|sequenceDiagram|classDiagram|pie|gitgraph|erDiagram|journey|gantt|stateDiagram|mindmap|timeline|quadrantChart)/m)||n.includes("-->")||n.includes("->")||n.includes("style
 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/docs/guides/>Return to the regular view of this page</a>.</p></div><h1 
class=title>GUIDES</h1><ul><li>1: <a 
href=#pg-dcb89d888ea6f4146ace522d76fe2776>HugeGraph Architecture 
Overview</a></li><li>2: <a href=#pg-3d0f9ef831ef5d7d11acfb09140359fa>HugeGraph 
Design Concepts</a></li><li>3: <a 
href=#pg-96a920d19e01666d95eded506d502ab4>HugeGraph Plugin 
机制及插件扩展流程</a></li><li>4: <a href=#pg-b40b2c5536e23eb0d840cec7ca4f3 [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/docs/guides/>Return to the regular view of this page</a>.</p></div><h1 
class=title>GUIDES</h1><ul><li>1: <a 
href=#pg-dcb89d888ea6f4146ace522d76fe2776>HugeGraph Architecture 
Overview</a></li><li>2: <a href=#pg-3d0f9ef831ef5d7d11acfb09140359fa>HugeGraph 
Design Concepts</a></li><li>3: <a 
href=#pg-96a920d19e01666d95eded506d502ab4>HugeGraph Plugin 
机制及插件扩展流程</a></li><li>4: <a href=#pg-b40b2c5536e23eb0d840cec7ca4f3 [...]
 RDF和Property Graph都是最基础、最有名的图表示模式，都能够表示各种图的实体关系建模。
 RDF是W3C标准，而Property Graph是工业标准，受到广大图数据库厂商的广泛支持。HugeGraph目前采用Property 
Graph。</p><p>HugeGraph对应的存储概念模型也是参考Property 
Graph而设计的，具体示例详见下图：（<em>此图为旧版设计已过时，请忽略它，后续更新</em>）</p><p><img 
src=/docs/images/design/PropertyGraph.png alt=image></p><p>在HugeGraph内部，每个顶点 / 
边由唯一的 VertexId / EdgeId 标识，属性存储在对应点 / 边内部。而顶点与顶点之间的关系 / 
映射则是通过边来存储的。</p><p>顶点属性值通过边指针方式存储时，如果要更新一个顶点特定的属性值直接通过覆盖写入即可，其弊端是冗余存储了VertexId；
 如果要更新关系的属性需要通过read-and-modify方式，先读取所有属性，修改部分属性，然后再写入存储系统，更新效率较低。
diff --git a/cn/docs/guides/architectural/index.html 
b/cn/docs/guides/architectural/index.html
index a08fd107..6579dc66 100644
--- a/cn/docs/guides/architectural/index.html
+++ b/cn/docs/guides/architectural/index.html
@@ -1,11 +1,11 @@
 <!doctype html><html lang=cn class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><meta name=robots content="index, follow"><link 
rel="shortcut icon" href=/favicons/favicon.ico> [...]
-作为一款通用的图数据库产品，HugeGraph 需具备图数据库的基本功能。HugeGraph 支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 
实现了 Apache TinkerPop3 框架，支持 Gremlin 和 Cypher 查询语言，拥有功能齐全的应用工具链，还提供了 …"><meta 
property="og:title" content="HugeGraph Architecture Overview"><meta 
property="og:description" content="1 概述 作为一款通用的图数据库产品，HugeGraph 
需具备图数据库的基本功能。HugeGraph 支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现了 Apache TinkerPop3 
框架，支持 Gremlin 和 Cypher 查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。
+作为一套覆盖图数据库、图计算与图 AI 的全栈图系统，HugeGraph 以高性能图引擎（HugeGraph Server）为核心，支持 OLTP 和 
OLAP 两种图计算类型。其中 OLTP 层实现了 Apache TinkerPop3 框架，支持 Gremlin 和 Cypher 查询 …"><meta 
property="og:title" content="HugeGraph Architecture Overview"><meta 
property="og:description" content="1 概述 作为一套覆盖图数据库、图计算与图 AI 的全栈图系统，HugeGraph 
以高性能图引擎（HugeGraph Server）为核心，支持 OLTP 和 OLAP 两种图计算类型。其中 OLTP 层实现了 Apache 
TinkerPop3 框架，支持 Gremlin 和 Cypher 查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。
 下面是 HugeGraph 的整体架构图：
 HugeGraph 包括三个层次的功能，分别是应用程序层、图引擎层和存储层。
-应用程序层： Hubble: 
一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程，实现了图应用的全流程向导式操作。 
Loader: 数据导入组件，能够将多种数据源的数据转化为图的顶点和边并批量导入到图数据库中。 Tools: 命令行工具，用于部署、管理和备份/恢复 
HugeGraph 中的数据。 Computer: 分布式图处理系统 (OLAP)，它是 Pregel 的一个实现，可以运行在 Kubernetes 上。 
Client: 使用 Java 编写的 HugeGraph 客户端，用户可以使用 Client 编写 Java 代码操作 
HugeGraph，后续可根据需要提供 Python、Go、C++ 等多语言支持。 图引擎层： REST Server: 提供 RESTful API 
用于查询 Graph/Schema 等信息，支持 Gremlin 和 Cypher 查询语言，提供服务监控和运维的 APIs。 Graph Engine: 
支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现�
 � A [...]
+应用程序层： Hubble: 
一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程，实现了图应用的全流程向导式操作。 
Loader: 数据导入组件，能够将多种数据源的数据转化为图的顶点和边并批量导入到图数据库中。 Tools: 命令行工具，用于部署、管理和备份/恢复 
HugeGraph 中的数据。 Computer: 分布式图处理系统 (OLAP)，它是 Pregel 的一个实现，可以运行在 Kubernetes 上。 
Client: 使用 Java 编写的 HugeGraph 客户端，用户可以使用 Client 编写 Java 代码操作 
HugeGraph，后续可根据需要提供 Python、Go、C++ 等多语言支持。 图引擎层： REST Server: 提供 RESTful API 
用于查询 Graph/Schema 等信息，支持 Gremlin 和 Cypher 查询语言，提供服务监控和运维的 APIs。 Graph Engine: 
支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现�
 � A [...]
 下面是 HugeGraph 的整体架构图：
 HugeGraph 包括三个层次的功能，分别是应用程序层、图引擎层和存储层。
-应用程序层： Hubble: 
一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程，实现了图应用的全流程向导式操作。 
Loader: 数据导入组件，能够将多种数据源的数据转化为图的顶点和边并批量导入到图数据库中。 Tools: 命令行工具，用于部署、管理和备份/恢复 
HugeGraph 中的数据。 Computer: 分布式图处理系统 (OLAP)，它是 Pregel 的一个实现，可以运行在 Kubernetes 上。 
Client: 使用 Java 编写的 HugeGraph 客户端，用户可以使用 Client 编写 Java 代码操作 
HugeGraph，后续可根据需要提供 Python、Go、C++ 等多语言支持。 图引擎层： REST Server: 提供 RESTful API 
用于查询 Graph/Schema 等信息，支持 Gremlin 和 Cypher 查询语言，提供服务监控和运维的 APIs。 Graph Engine: 
支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现�
 � A [...]
+应用程序层： Hubble: 
一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程，实现了图应用的全流程向导式操作。 
Loader: 数据导入组件，能够将多种数据源的数据转化为图的顶点和边并批量导入到图数据库中。 Tools: 命令行工具，用于部署、管理和备份/恢复 
HugeGraph 中的数据。 Computer: 分布式图处理系统 (OLAP)，它是 Pregel 的一个实现，可以运行在 Kubernetes 上。 
Client: 使用 Java 编写的 HugeGraph 客户端，用户可以使用 Client 编写 Java 代码操作 
HugeGraph，后续可根据需要提供 Python、Go、C++ 等多语言支持。 图引擎层： REST Server: 提供 RESTful API 
用于查询 Graph/Schema 等信息，支持 Gremlin 和 Cypher 查询语言，提供服务监控和运维的 APIs。 Graph Engine: 
支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现�
 � A [...]
 下面是 HugeGraph 的整体架构图：
 HugeGraph 包括三个层次的功能，分别是应用程序层、图引擎层和存储层。
 应用程序层： Hubble: 
一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程，实现了图应用的全流程向导式操作。 
Loader: 数据导入组件，能够将多种数据源的数据转化为图的顶点和边并批量导入到图数据库中。 Tools: 命令行工具，用于部署、管理和备份/恢复 
HugeGraph 中的数据。 Computer: 分布式图处理系统 (OLAP)，它是 Pregel 的一个实现，可以运行在 Kubernetes 上。 
Client: 使用 Java 编写的 HugeGraph 客户端，用户可以使用 Client 编写 Java 代码操作 
HugeGraph，后续可根据需要提供 Python、Go、C++ 等多语言支持。 图引擎层： REST Server: 提供 RESTful API 
用于查询 Graph/Schema 等信息，支持 Gremlin 和 Cypher 查询语言，提供服务监控和运维的 APIs。 Graph Engine: 
支持 OLTP 和 OLAP 两种图计算类型，其中 OLTP 实现�
 � A [...]
@@ -14,7 +14,7 @@ HugeGraph 包括三个层次的功能，分别是应用程序层、图引擎层
 <a 
href="https://github.com/apache/hugegraph-doc/new/master/content/cn/docs/guides/architectural.md?filename=change-me.md&value=---%0Atitle%3A+%22Long+Page+Title%22%0AlinkTitle%3A+%22Short+Nav+Title%22%0Aweight%3A+100%0Adescription%3A+%3E-%0A+++++Page+description+for+heading+and+indexes.%0A---%0A%0A%23%23+Heading%0A%0AEdit+this+template+to+create+your+new+page.%0A%0A%2A+Give+it+a+good+name%2C+ending+in+%60.md%60+-+e.g.+%60getting-started.md%60%0A%2A+Edit+the+%22front+matter%22+section+at
 [...]
 <a 
href="https://github.com/apache/hugegraph-doc/issues/new?title=HugeGraph%20Architecture%20Overview";
 class=td-page-meta--issue target=_blank rel=noopener><i class="fab fa-github 
fa-fw"></i> Create documentation issue</a>
 <a href=https://github.com/apache/hugegraph/issues/new 
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-<a id=print href=/cn/docs/guides/_print/><i class="fa fa-print fa-fw"></i> 
Print entire section</a></div></aside><main class="col-12 col-md-9 col-xl-8 
pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol 
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href=/cn/docs/guides/architectural/>架构概览</a></li></ol></nav><div  [...]
+<a id=print href=/cn/docs/guides/_print/><i class="fa fa-print fa-fw"></i> 
Print entire section</a></div></aside><main class="col-12 col-md-9 col-xl-8 
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diff --git a/cn/docs/guides/index.xml b/cn/docs/guides/index.xml
index a643b6d7..f75d1d0b 100644
--- a/cn/docs/guides/index.xml
+++ b/cn/docs/guides/index.xml
@@ -1,6 +1,6 @@
 <rss version="2.0" 
xmlns:atom="http://www.w3.org/2005/Atom";><channel><title>HugeGraph – 
GUIDES</title><link>/cn/docs/guides/</link><description>Recent content in 
GUIDES on HugeGraph</description><generator>Hugo -- 
gohugo.io</generator><atom:link href="/cn/docs/guides/index.xml" rel="self" 
type="application/rss+xml"/><item><title>Docs: HugeGraph Architecture 
Overview</title><link>/cn/docs/guides/architectural/</link><pubDate>Mon, 01 Jan 
0001 00:00:00 +0000</pubDate><guid>/cn/docs/guides/a [...]
 &lt;h3 id="1-概述">1 概述&lt;/h3>
-&lt;p>作为一款通用的图数据库产品，HugeGraph 需具备图数据库的基本功能。HugeGraph 支持 OLTP 和 OLAP 两种图计算类型，其中 
OLTP 实现了 &lt;a href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> 
框架，支持 &lt;a href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> 和 
&lt;a href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> 
查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。&lt;/p>
+&lt;p>作为一套覆盖&lt;strong>图数据库、图计算与图 AI&lt;/strong> 的全栈图系统，HugeGraph 
以高性能图引擎（HugeGraph Server）为核心，支持 OLTP 和 OLAP 两种图计算类型。其中 OLTP 层实现了 &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> 框架，支持 &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> 和 &lt;a 
href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> 
查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。&lt;/p>
 &lt;p>下面是 HugeGraph 的整体架构图：&lt;/p>
 &lt;div style="text-align: center;">
 &lt;img src="/docs/images/design/architectural-revised.png" alt="image">
diff --git a/cn/docs/index.xml b/cn/docs/index.xml
index 2d30f40c..87404ab0 100644
--- a/cn/docs/index.xml
+++ b/cn/docs/index.xml
@@ -4691,7 +4691,7 @@
 &lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;h3 
id="8-使用-intellij-idea-调试-server">8 使用 IntelliJ IDEA 调试 Server&lt;/h3>
 &lt;p>请参考&lt;a 
href="/docs/contribution-guidelines/hugegraph-server-idea-setup">在 IDEA 中配置 
Server 开发环境&lt;/a>&lt;/p></description></item><item><title>Docs: HugeGraph 
Architecture 
Overview</title><link>/cn/docs/guides/architectural/</link><pubDate>Mon, 01 Jan 
0001 00:00:00 
+0000</pubDate><guid>/cn/docs/guides/architectural/</guid><description>
 &lt;h3 id="1-概述">1 概述&lt;/h3>
-&lt;p>作为一款通用的图数据库产品，HugeGraph 需具备图数据库的基本功能。HugeGraph 支持 OLTP 和 OLAP 两种图计算类型，其中 
OLTP 实现了 &lt;a href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> 
框架，支持 &lt;a href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> 和 
&lt;a href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> 
查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。&lt;/p>
+&lt;p>作为一套覆盖&lt;strong>图数据库、图计算与图 AI&lt;/strong> 的全栈图系统，HugeGraph 
以高性能图引擎（HugeGraph Server）为核心，支持 OLTP 和 OLAP 两种图计算类型。其中 OLTP 层实现了 &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> 框架，支持 &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> 和 &lt;a 
href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> 
查询语言，拥有功能齐全的应用工具链，还提供了插件式后端存储驱动框架。&lt;/p>
 &lt;p>下面是 HugeGraph 的整体架构图：&lt;/p>
 &lt;div style="text-align: center;">
 &lt;img src="/docs/images/design/architectural-revised.png" alt="image">
diff --git a/cn/docs/introduction/_print/index.html 
b/cn/docs/introduction/_print/index.html
index e68aad8e..676db4d6 100644
--- a/cn/docs/introduction/_print/index.html
+++ b/cn/docs/introduction/_print/index.html
@@ -1,20 +1,23 @@
-<!doctype html><html lang=cn class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/cn/docs/introduction/><link rel=alternate type=applica [...]
-Apache HugeGraph 是一款易用、高效、通用的开源图数据库系统（Graph Database，GitHub 项目地址），
-实现了Apache TinkerPop3框架及完全兼容Gremlin查询语言，
-同时支持 Cypher 查询语言（OpenCypher 标准），
-具备 …"><meta property="og:title" content="Introduction with HugeGraph"><meta 
property="og:description" content="Apache HugeGraph 官网"><meta 
property="og:type" content="website"><meta property="og:url" 
content="/cn/docs/introduction/"><meta property="og:site_name" 
content="HugeGraph"><meta itemprop=name content="Introduction with 
HugeGraph"><meta itemprop=description content="Apache HugeGraph 官网"><meta 
name=twitter:card content="summary"><meta name=twitter:title 
content="Introduction with H [...]
+<!doctype html><html lang=cn class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/cn/docs/introduction/><link rel=alternate type=applica [...]
+Apache HugeGraph 是一套易用、高效、通用的开源全栈图系统（GitHub），
+覆盖图数据库（OLTP 实时查询）、图计算（OLAP 大规模分析）与图 AI（GraphRAG / 图机器学习）三大领域。
+HugeGraph 支持百亿以上的顶点和 …"><meta property="og:title" content="Introduction with 
HugeGraph"><meta property="og:description" content="Apache HugeGraph 官网"><meta 
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 <link rel=stylesheet 
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 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/docs/introduction/>Return to the regular view of this 
page</a>.</p></div><h1 class=title>Introduction with 
HugeGraph</h1><ul></ul><div class=content><h3 id=summary>Summary</h3><p>Apache 
HugeGraph 是一款易用、高效、通用的开源图数据库系统（Graph Database，<a 
href=https://github.com/apache/hugegraph>GitHub 项目地址</a>），
-实现了<a href=https://tinkerpop.apache.org>Apache TinkerPop3</a>框架及完全兼容<a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a>查询语言，
-同时支持 <a href=https://opencypher.org/>Cypher</a> 查询语言（OpenCypher 标准），
-具备完善的工具链组件，助力用户轻松构建基于图数据库之上的应用和产品。HugeGraph 
支持百亿以上的顶点和边快速导入，并提供毫秒级的关联关系查询能力（OLTP），
-并支持大规模分布式图分析（OLAP）。</p><p>HugeGraph 
典型应用场景包括深度关系探索、关联分析、路径搜索、特征抽取、数据聚类、社区检测、知识图谱等，
-适用业务领域有如网络安全、电信诈骗、金融风控、广告推荐、社交网络和智能机器人等。</p><p>本系统的主要应用场景是解决反欺诈、威胁情报、黑产打击等业务的图数据存储和建模分析需求，在此基础上逐步扩展及支持了更多的通用图应用。</p><h3
 id=features>Features</h3><p>HugeGraph 
支持在线及离线环境下的图操作，支持批量导入数据，支持高效的复杂关联关系分析，并且能够与大数据平台无缝集成。
-HugeGraph 支持多用户并行操作，用户可输入 Gremlin/Cypher 查询语句，并及时得到图查询结果，也可在用户程序中调用 HugeGraph 
API 进行图分析或查询。</p><p>本系统具备如下特点：</p><ul><li>易用：HugeGraph 支持 Gremlin/Cypher 图查询语言与 
RESTful API，同时提供图检索常用接口，具备功能齐全的周边工具，轻松实现基于图的各种查询分析运算。</li><li>高效：HugeGraph 
在图存储和图计算方面做了深度优化，提供多种批量导入工具，轻松完成百亿级数据快速导入，通过优化过的查询达到图检索的毫秒级响应。支持数千用户并发的在线实时操作。</li><li>通用：HugeGraph
 支持 Apache Gremlin 标准图查询语言和 Property Graph 标准图建模方法，支持基于图的 OLTP 和 OLAP 方案。集成 
Apache Hadoop 及 Apache Spark 大数据平台。</li><li>可扩展：支持分布式存储、数据多副本及横向扩容，内置�
 �后端存储引擎，也可插件式轻 [...]
-可视化管理平台，一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程；</li><li><a 
href=/cn/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>：HugeGraph-Tools
 是 HugeGraph 的部署和管理工具，包括管理图、备份/恢复、Gremlin 执行等功能。</li></ul></li><li><a 
href=/cn/docs/quickstart/computing/hugegraph-computer>HugeGraph-Computer</a>：HugeGraph-Computer
 是分布式图处理系统 (OLAP)。
-它是 <a href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a> 
的一个实现。它可以运行在 Kubernetes/Yarn
-等集群上，支持超大规模图计算。同时提供 Vermeer 轻量级图计算引擎，适合快速开始和中小规模图分析。</li><li><a 
href=/cn/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>：HugeGraph-AI 是 HugeGraph 
独立的 AI
-组件，提供 LLM/GraphRAG 智能问答、自动化知识图谱构建、图神经网络训练/推理、Python-Client 等功能，内置 20+ 
图机器学习算法，持续更新中。</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: 
使用途中出现问题或提供功能性建议，可通过此反馈 (推荐)</li><li>邮件反馈：<a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/>邮箱订阅方式</a>)</li><li>SEC
 反馈： <a href=mailto:[email protected]>[email protected] 
[...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/cn/docs/introduction/>Return to the regular view of this 
page</a>.</p></div><h1 class=title>Introduction with 
HugeGraph</h1><ul></ul><div class=content><h3 id=什么是-apache-hugegraph>什么是 
Apache HugeGraph？</h3><p><a href=https://hugegraph.apache.org/>Apache 
HugeGraph</a> 是一套易用、高效、通用的开源<strong>全栈图系统</strong>（<a 
href=https://github.com/apache/hugegraph>GitHub</a>），
+覆盖<strong>图数据库</strong>（OLTP 实时查询）、<strong>图计算</strong>（OLAP 大规模分析）与<strong>图 
AI</strong>（GraphRAG / 图机器学习）三大领域。</p><p>HugeGraph 支持百亿以上的顶点和边的快速存储与查询，具备出色的 
OLTP 性能。
+其图引擎完全兼容 <a href=https://tinkerpop.apache.org>Apache TinkerPop 3</a> 框架，同时支持
+<a href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> 和 <a 
href=https://en.wikipedia.org/wiki/Cypher>Cypher</a>（OpenCypher 
标准）双查询语言。</p><p><strong>典型应用场景：</strong> 
深度关系探索、关联分析、路径搜索、特征抽取、社区检测、知识图谱等，<br><strong>适用领域：</strong> 
网络安全、电信反欺诈、金融风控、广告推荐、社交网络、智能问答等。</p><hr><h3 id=生态系统全景>生态系统全景</h3><div 
class=highlight><pre tabindex=0 
style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code 
class=language-fallback data-lang=fallback><span 
style=display:flex><span>┌───── [...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=核心组件>核心组件</h3><h4 
id=-hugegraph-server--图引擎oltp>🗄️ HugeGraph Server — 图引擎（OLTP）</h4><p>HugeGraph 
项目的核心模块，提供高性能的图数据存储与实时查询能力：</p><ul><li><strong>图引擎核心</strong>：支持属性图（Property 
Graph）建模，包含 VertexLabel、EdgeLabel、PropertyKey、IndexLabel 完整 Schema 
管理</li><li><strong>双查询语言</strong>：全面兼容 Gremlin（TinkerPop 3）和 
Cypher（OpenCypher）</li><li><strong>REST API</strong>：内置 REST Server，提供 RESTful 
图操作接口</li><li><strong>多类型索引</strong>：精确查询、范围查询、复合条件组合查询</li><li><st [...]
+</span></span></code></pre></div><hr><h3 
id=快速入门导航>快速入门导航</h3><table><thead><tr><th>我想要&mldr;</th><th>从这里开始</th></tr></thead><tbody><tr><td>🚀
 <strong>快速体验</strong></td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>Docker 
部署</a></td></tr><tr><td>🔍 <strong>运行图查询</strong> (OLTP)</td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>HugeGraph Server 
快速开始</a></td></tr><tr><td>📈 <strong>大规模图计算</strong> (OLAP)</td><td><a 
href=/cn/docs/quickstart/computing/hugegraph-compute [...]
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content="Hugo 0.102.3"><link rel=alternate type=text/html 
href=/cn/docs/introduction/_print/><link rel=alternate type= [...]
-Apache HugeGraph 是一款易用、高效、通用的开源图数据库系统（Graph Database，GitHub 项目地址），
-实现了Apache TinkerPop3框架及完全兼容Gremlin查询语言，
-同时支持 Cypher 查询语言（OpenCypher 标准），
-具备 …"><meta property="og:title" content="Introduction with HugeGraph"><meta 
property="og:description" content="Apache HugeGraph 官网"><meta 
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HugeGraph"><meta itemprop=description content="Apache HugeGraph 官网"><meta 
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content="Hugo 0.102.3"><link rel=alternate type=text/html 
href=/cn/docs/introduction/_print/><link rel=alternate type= [...]
+Apache HugeGraph 是一套易用、高效、通用的开源全栈图系统（GitHub），
+覆盖图数据库（OLTP 实时查询）、图计算（OLAP 大规模分析）与图 AI（GraphRAG / 图机器学习）三大领域。
+HugeGraph 支持百亿以上的顶点和 …"><meta property="og:title" content="Introduction with 
HugeGraph"><meta property="og:description" content="Apache HugeGraph 官网"><meta 
property="og:type" content="website"><meta property="og:url" 
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-<a id=print href=/cn/docs/introduction/_print/><i class="fa fa-print 
fa-fw"></i> Print entire section</a></div><div class=td-toc><nav 
id=TableOfContents><ul><li><ul><li><a href=#summary>Summary</a></li><li><a 
href=#features>Features</a></li><li><a href=#部署模式>部署模式</a></li><li><a 
href=#快速入门指南>快速入门指南</a></li><li><a href=#功能特性>功能特性</a></li><li><a 
href=#modules>Modules</a></li><li><a href=#contact-us>Contact 
Us</a></li></ul></li></ul></nav></div></aside><main class="col-12 col-md-9 
col-xl-8 p [...]
-实现了<a href=https://tinkerpop.apache.org>Apache TinkerPop3</a>框架及完全兼容<a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a>查询语言，
-同时支持 <a href=https://opencypher.org/>Cypher</a> 查询语言（OpenCypher 标准），
-具备完善的工具链组件，助力用户轻松构建基于图数据库之上的应用和产品。HugeGraph 
支持百亿以上的顶点和边快速导入，并提供毫秒级的关联关系查询能力（OLTP），
-并支持大规模分布式图分析（OLAP）。</p><p>HugeGraph 
典型应用场景包括深度关系探索、关联分析、路径搜索、特征抽取、数据聚类、社区检测、知识图谱等，
-适用业务领域有如网络安全、电信诈骗、金融风控、广告推荐、社交网络和智能机器人等。</p><p>本系统的主要应用场景是解决反欺诈、威胁情报、黑产打击等业务的图数据存储和建模分析需求，在此基础上逐步扩展及支持了更多的通用图应用。</p><h3
 id=features>Features</h3><p>HugeGraph 
支持在线及离线环境下的图操作，支持批量导入数据，支持高效的复杂关联关系分析，并且能够与大数据平台无缝集成。
-HugeGraph 支持多用户并行操作，用户可输入 Gremlin/Cypher 查询语句，并及时得到图查询结果，也可在用户程序中调用 HugeGraph 
API 进行图分析或查询。</p><p>本系统具备如下特点：</p><ul><li>易用：HugeGraph 支持 Gremlin/Cypher 图查询语言与 
RESTful API，同时提供图检索常用接口，具备功能齐全的周边工具，轻松实现基于图的各种查询分析运算。</li><li>高效：HugeGraph 
在图存储和图计算方面做了深度优化，提供多种批量导入工具，轻松完成百亿级数据快速导入，通过优化过的查询达到图检索的毫秒级响应。支持数千用户并发的在线实时操作。</li><li>通用：HugeGraph
 支持 Apache Gremlin 标准图查询语言和 Property Graph 标准图建模方法，支持基于图的 OLTP 和 OLAP 方案。集成 
Apache Hadoop 及 Apache Spark 大数据平台。</li><li>可扩展：支持分布式存储、数据多副本及横向扩容，内置�
 �后端存储引擎，也可插件式轻 [...]
-可视化管理平台，一站式可视化分析平台，平台涵盖了从数据建模，到数据快速导入，再到数据的在线、离线分析、以及图的统一管理的全过程；</li><li><a 
href=/cn/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>：HugeGraph-Tools
 是 HugeGraph 的部署和管理工具，包括管理图、备份/恢复、Gremlin 执行等功能。</li></ul></li><li><a 
href=/cn/docs/quickstart/computing/hugegraph-computer>HugeGraph-Computer</a>：HugeGraph-Computer
 是分布式图处理系统 (OLAP)。
-它是 <a href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a> 
的一个实现。它可以运行在 Kubernetes/Yarn
-等集群上，支持超大规模图计算。同时提供 Vermeer 轻量级图计算引擎，适合快速开始和中小规模图分析。</li><li><a 
href=/cn/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>：HugeGraph-AI 是 HugeGraph 
独立的 AI
-组件，提供 LLM/GraphRAG 智能问答、自动化知识图谱构建、图神经网络训练/推理、Python-Client 等功能，内置 20+ 
图机器学习算法，持续更新中。</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: 
使用途中出现问题或提供功能性建议，可通过此反馈 (推荐)</li><li>邮件反馈：<a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/>邮箱订阅方式</a>)</li><li>SEC
 反馈： <a href=mailto:[email protected]>[email protected] 
[...]
+<a id=print href=/cn/docs/introduction/_print/><i class="fa fa-print 
fa-fw"></i> Print entire section</a></div><div class=td-toc><nav 
id=TableOfContents><ul><li><ul><li><a href=#什么是-apache-hugegraph>什么是 Apache 
HugeGraph？</a></li><li><a href=#生态系统全景>生态系统全景</a></li><li><a 
href=#核心组件>核心组件</a></li><li><a href=#部署模式>部署模式</a></li><li><a 
href=#快速入门导航>快速入门导航</a></li><li><a href=#系统特性>系统特性</a></li><li><a 
href=#联系我们>联系我们</a></li></ul></li></ul></nav></div></aside><main class="col-12 
col-md-9 col-x [...]
+覆盖<strong>图数据库</strong>（OLTP 实时查询）、<strong>图计算</strong>（OLAP 大规模分析）与<strong>图 
AI</strong>（GraphRAG / 图机器学习）三大领域。</p><p>HugeGraph 支持百亿以上的顶点和边的快速存储与查询，具备出色的 
OLTP 性能。
+其图引擎完全兼容 <a href=https://tinkerpop.apache.org>Apache TinkerPop 3</a> 框架，同时支持
+<a href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> 和 <a 
href=https://en.wikipedia.org/wiki/Cypher>Cypher</a>（OpenCypher 
标准）双查询语言。</p><p><strong>典型应用场景：</strong> 
深度关系探索、关联分析、路径搜索、特征抽取、社区检测、知识图谱等，<br><strong>适用领域：</strong> 
网络安全、电信反欺诈、金融风控、广告推荐、社交网络、智能问答等。</p><hr><h3 id=生态系统全景>生态系统全景</h3><div 
class=highlight><pre tabindex=0 
style=background-color:#f8f8f8;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code 
class=language-fallback data-lang=fallback><span 
style=display:flex><span>┌───── [...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=核心组件>核心组件</h3><h4 
id=-hugegraph-server--图引擎oltp>🗄️ HugeGraph Server — 图引擎（OLTP）</h4><p>HugeGraph 
项目的核心模块，提供高性能的图数据存储与实时查询能力：</p><ul><li><strong>图引擎核心</strong>：支持属性图（Property 
Graph）建模，包含 VertexLabel、EdgeLabel、PropertyKey、IndexLabel 完整 Schema 
管理</li><li><strong>双查询语言</strong>：全面兼容 Gremlin（TinkerPop 3）和 
Cypher（OpenCypher）</li><li><strong>REST API</strong>：内置 REST Server，提供 RESTful 
图操作接口</li><li><strong>多类型索引</strong>：精确查询、范围查询、复合条件组合查询</li><li><st [...]
+</span></span></code></pre></div><hr><h3 
id=快速入门导航>快速入门导航</h3><table><thead><tr><th>我想要&mldr;</th><th>从这里开始</th></tr></thead><tbody><tr><td>🚀
 <strong>快速体验</strong></td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>Docker 
部署</a></td></tr><tr><td>🔍 <strong>运行图查询</strong> (OLTP)</td><td><a 
href=/cn/docs/quickstart/hugegraph/hugegraph-server>HugeGraph Server 
快速开始</a></td></tr><tr><td>📈 <strong>大规模图计算</strong> (OLAP)</td><td><a 
href=/cn/docs/quickstart/computing/hugegraph-compute [...]
 <script src=/js/bootstrap.min.js></script>
 <script src=/js/mermaid.min.js></script>
 <script src=/js/tabpane-persist.js></script>
diff --git a/cn/sitemap.xml b/cn/sitemap.xml
index ff536bb0..a460ddba 100644
--- a/cn/sitemap.xml
+++ b/cn/sitemap.xml
@@ -1 +1 @@
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xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/cn/docs/clients/restful-api/graphspace/</loc><lastmod>2025-11-26T19:15:48+08:00</lastmod><xhtml:link
 rel="alternate" hreflang="en" 
href="/docs/clients/restful-api/graphspace/"/><xhtml:link rel="alternate" 
hreflang="cn" 
href="/cn/docs/clients/restful-api/graphspace/"/></url><url><loc>/cn/docs/language/hugegraph-gremlin/</l
 [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/cn/docs/clients/restful-api/graphspace/</loc><lastmod>2025-11-26T19:15:48+08:00</lastmod><xhtml:link
 rel="alternate" hreflang="en" 
href="/docs/clients/restful-api/graphspace/"/><xhtml:link rel="alternate" 
hreflang="cn" 
href="/cn/docs/clients/restful-api/graphspace/"/></url><url><loc>/cn/docs/language/hugegraph-gremlin/</l
 [...]
\ No newline at end of file
diff --git a/docs/_print/index.html b/docs/_print/index.html
index 4cac70db..f2935cc0 100644
--- a/docs/_print/index.html
+++ b/docs/_print/index.html
@@ -15,15 +15,18 @@ Apache HugeGraph is a complete graph database ecosystem, 
supporting OLTP real-ti
 </span></span><span style=display:flex><span>│  │  Hubble (UI) | Loader | 
Client (Java/Go/Python) | Tools   │   │
 </span></span><span style=display:flex><span>│  
└───────────────────────────────────────────────────────────┘   │
 </span></span><span 
style=display:flex><span>└─────────────────────────────────────────────────────────────────┘
-</span></span></code></pre></div><h3 id=core-components>Core 
Components</h3><ul><li><strong>HugeGraph Server</strong> - Core graph database 
with REST API + Gremlin + Cypher support</li><li><strong>HugeGraph 
Toolchain</strong> - Client SDKs, data import, visualization, and operational 
tools</li><li><strong>HugeGraph Computer</strong> - Distributed graph computing 
(Vermeer high-performance in-memory / Computer massive external 
storage)</li><li><strong>HugeGraph-AI</strong> - GraphRAG, know [...]
-(Graph Database, <a href=https://github.com/apache/hugegraph>GitHub project 
address</a>), implementing the <a href=https://tinkerpop.apache.org>Apache 
TinkerPop3</a> framework and fully compatible with the <a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
-while also supporting the <a href=https://opencypher.org/>Cypher</a> query 
language (OpenCypher standard).
-With complete toolchain components, it helps users easily build applications 
and products based on graph databases. HugeGraph supports fast import of more 
than 10 billion vertices and edges, and provides millisecond-level relational 
query capability (OLTP).
-It also supports large-scale distributed graph computing (OLAP).</p><p>Typical 
application scenarios of HugeGraph include deep relationship exploration, 
association analysis, path search, feature extraction, data clustering, 
community detection, knowledge graph, etc., and are applicable to business 
fields such as network security, telecommunication fraud, financial risk 
control, advertising recommendation, social network, and intelligence Robots, 
etc.</p><h3 id=features>Features</h3><p>H [...]
-HugeGraph supports multi-user parallel operations. Users can enter 
Gremlin/Cypher query statements and get graph query results in time. They can 
also call the HugeGraph API in user programs for graph analysis or 
queries.</p><p>This system has the following features:</p><ul><li>Ease of use: 
HugeGraph supports the Gremlin/Cypher graph query languages and a RESTful API, 
providing common interfaces for graph retrieval, and peripheral tools with 
complete functions to easily implement various  [...]
-visualization management platform, a one-stop visualization analysis platform, 
the platform covers the whole process from data modeling, to fast data import, 
to online and offline analysis of data, and unified management of the 
graph;</li><li><a 
href=/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>: 
HugeGraph-Tools is HugeGraph&rsquo;s deployment and management tool, including 
graph management, backup/recovery, Gremlin execution and other 
functions.</li></ul></li><li><a hre [...]
-It is an implementation of <a 
href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a>. It can run 
on clusters such as Kubernetes/Yarn, and supports large-scale graph computing. 
Also provides Vermeer lightweight graph computing engine, suitable for quick 
start and small-to-medium scale graph analysis.</li><li><a 
href=/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>: HugeGraph-AI is 
HugeGraph&rsquo;s independent AI
-component, providing LLM/GraphRAG intelligent Q&A, automated knowledge graph 
construction, graph neural network training/inference, Python-Client and other 
features, with 20+ built-in graph machine learning algorithms, continuously 
updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: Feedback on 
usage issues and functional requirements (quick response)</li><li>Feedback 
Email: <a href=mailto:[email protected]. [...]
+</span></span></code></pre></div><h3 id=core-components>Core 
Components</h3><ul><li><strong>HugeGraph Server</strong> - Core graph database 
with REST API + Gremlin + Cypher support</li><li><strong>HugeGraph 
Toolchain</strong> - Client SDKs, data import, visualization, and operational 
tools</li><li><strong>HugeGraph Computer</strong> - Distributed graph computing 
(Vermeer high-performance in-memory / Computer massive external 
storage)</li><li><strong>HugeGraph-AI</strong> - GraphRAG, know [...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=core-components>Core 
Components</h3><h4 id=-hugegraph-server--graph-engine-oltp>🗄️ HugeGraph Server 
— Graph Engine (OLTP)</h4><p>The core module of the HugeGraph project, 
providing high-performance graph data storage and real-time query 
capabilities:</p><ul><li><strong>Core Engine</strong>: Supports Property Graph 
modeling, including complete Schema management for VertexLabel, EdgeLabel, 
PropertyKey, and IndexLabel.</li><li><strong>Dual Query L [...]
+</span></span></code></pre></div><hr><h3 id=quick-start-navigation>Quick Start 
Navigation</h3><table><thead><tr><th>I want to&mldr;</th><th>Start 
Here</th></tr></thead><tbody><tr><td>🚀 <strong>Quick 
Experience</strong></td><td><a 
href=/docs/quickstart/hugegraph/hugegraph-server>Docker 
Deployment</a></td></tr><tr><td>🔍 <strong>Run Graph Queries</strong> 
(OLTP)</td><td><a href=/docs/quickstart/hugegraph/hugegraph-server>Server Quick 
Start</a></td></tr><tr><td>📈 <strong>Large-scale Graph Co [...]
 modules are similar. There is no big difference in the meaning of these two 
ways,
 which can be distinguished as follows: <code>HugeGraph-Server</code> 
represents the code of server-related
 components, <code>HugeGraphServer</code> represents the service 
process.</p></blockquote><h3 id=2-dependency-for-buildingrunning>2 Dependency 
for Building/Running</h3><h4 id=21-install-java-11-jdk-11>2.1 Install Java 11 
(JDK 11)</h4><p>You need to use Java 11 to run <code>HugeGraph-Server</code> 
(compatible with Java 8 before 1.5.0, but not recommended to use),
@@ -9408,7 +9411,7 @@ The <code>gremlin(groovy)</code> written by the user in 
<code>HugeGraph-Studio</
 </span></span><span style=display:flex><span><span 
style=color:#000>gremlin</span><span 
style=color:#ce5c00;font-weight:700>&gt;</span> <span 
style=color:#ce5c00;font-weight:700>:&gt;</span> <span 
style=color:#5c35cc;font-weight:700>@script</span>
 </span></span><span style=display:flex><span><span 
style=color:#ce5c00;font-weight:700>==&gt;</span><span 
style=color:#0000cf;font-weight:700>6</span>
 </span></span><span style=display:flex><span><span 
style=color:#000>gremlin</span><span 
style=color:#ce5c00;font-weight:700>&gt;</span> 
-</span></span></code></pre></div><p>For more information on the use of 
Gremlin-Console, please refer to <a 
href=http://tinkerpop.apache.org/docs/current/reference/>Tinkerpop Official 
Website</a></p></div><div class=td-content style=page-break-before:always><h1 
id=pg-d2c6535126cca927d2a9c893abde92a0>6 - GUIDES</h1></div><div 
class=td-content><h1 id=pg-dcb89d888ea6f4146ace522d76fe2776>6.1 - HugeGraph 
Architecture Overview</h1><h3 id=1-overview>1 Overview</h3><p>As a 
general-purpose graph d [...]
+</span></span></code></pre></div><p>For more information on the use of 
Gremlin-Console, please refer to <a 
href=http://tinkerpop.apache.org/docs/current/reference/>Tinkerpop Official 
Website</a></p></div><div class=td-content style=page-break-before:always><h1 
id=pg-d2c6535126cca927d2a9c893abde92a0>6 - GUIDES</h1></div><div 
class=td-content><h1 id=pg-dcb89d888ea6f4146ace522d76fe2776>6.1 - HugeGraph 
Architecture Overview</h1><h3 id=1-overview>1 Overview</h3><p>As a full-stack 
graph system [...]
 Both RDF and Property Graph are the most basic and well-known graph 
representation modes, and both can represent entity-relationship modeling of 
various graphs.
 RDF is a W3C standard, while Property Graph is an industry standard and is 
widely supported by graph database vendors. HugeGraph currently uses Property 
Graph.</p><p>The storage concept model corresponding to HugeGraph is also 
designed with reference to Property Graph. For specific examples, see the 
figure below:
 ( This figure is outdated for the old version design, please ignore it and 
update it later )</p><p><img src=/docs/images/design/PropertyGraph.png 
alt=image></p><p>Inside HugeGraph, each vertex/edge is identified by a unique 
VertexId/EdgeId, and the attributes are stored inside the corresponding 
vertex/edge.
diff --git a/docs/guides/_print/index.html b/docs/guides/_print/index.html
index 4c532544..15d36f2b 100644
--- a/docs/guides/_print/index.html
+++ b/docs/guides/_print/index.html
@@ -1,6 +1,6 @@
 <!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/docs/guides/><link rel=alternate type=application/rss+ [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
n=t.textContent.trim();(n.match(/^(graph|flowchart|sequenceDiagram|classDiagram|pie|gitgraph|erDiagram|journey|gantt|stateDiagram|mindmap|timeline|quadrantChart)/m)||n.includes("-->")||n.includes("->")||n.includes("style
 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/guides/>Return to the regular view of this page</a>.</p></div><h1 
class=title>GUIDES</h1><ul><li>1: <a 
href=#pg-dcb89d888ea6f4146ace522d76fe2776>HugeGraph Architecture 
Overview</a></li><li>2: <a href=#pg-3d0f9ef831ef5d7d11acfb09140359fa>HugeGraph 
Design Concepts</a></li><li>3: <a 
href=#pg-96a920d19e01666d95eded506d502ab4>HugeGraph Plugin mechanism and 
plug-in extension process</a></li><li>4: <a href=#pg-b4 [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/guides/>Return to the regular view of this page</a>.</p></div><h1 
class=title>GUIDES</h1><ul><li>1: <a 
href=#pg-dcb89d888ea6f4146ace522d76fe2776>HugeGraph Architecture 
Overview</a></li><li>2: <a href=#pg-3d0f9ef831ef5d7d11acfb09140359fa>HugeGraph 
Design Concepts</a></li><li>3: <a 
href=#pg-96a920d19e01666d95eded506d502ab4>HugeGraph Plugin mechanism and 
plug-in extension process</a></li><li>4: <a href=#pg-b4 [...]
 Both RDF and Property Graph are the most basic and well-known graph 
representation modes, and both can represent entity-relationship modeling of 
various graphs.
 RDF is a W3C standard, while Property Graph is an industry standard and is 
widely supported by graph database vendors. HugeGraph currently uses Property 
Graph.</p><p>The storage concept model corresponding to HugeGraph is also 
designed with reference to Property Graph. For specific examples, see the 
figure below:
 ( This figure is outdated for the old version design, please ignore it and 
update it later )</p><p><img src=/docs/images/design/PropertyGraph.png 
alt=image></p><p>Inside HugeGraph, each vertex/edge is identified by a unique 
VertexId/EdgeId, and the attributes are stored inside the corresponding 
vertex/edge.
diff --git a/docs/guides/architectural/index.html 
b/docs/guides/architectural/index.html
index d7915328..1fafebc2 100644
--- a/docs/guides/architectural/index.html
+++ b/docs/guides/architectural/index.html
@@ -1,17 +1,14 @@
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name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
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content="Hugo 0.102.3"><meta name=robots content="index, follow"><link 
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graph database functionality. HugeGraph supports two types of …"><meta 
property="og:title" content="HugeGraph Architecture Overview"><meta 
property="og:description" content="1 Overview As a general-purpose graph 
database product, HugeGraph needs to possess basic graph database 
functionality. HugeGraph supports two types of graph computation: OLTP and 
OLAP. For OLTP, it implements the Apache TinkerPop3 framework [...]
-Below is the overall architecture diagram of HugeGraph:
-HugeGraph consists of three layers of functionality: the application layer, 
the graph engine layer, and the storage layer."><meta property="og:type" 
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Overview"><meta itemprop=description c [...]
-Below is the overall architecture diagram of HugeGraph:
-HugeGraph consists of three layers of functionality: the application layer, 
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+Below is the overall architecture diagram of HugeGraph:"><meta 
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+<a id=print href=/docs/guides/_print/><i class="fa fa-print fa-fw"></i> Print 
entire section</a></div></aside><main class="col-12 col-md-9 col-xl-8 pl-md-5" 
role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol 
class=breadcrumb><li class=breadcrumb-item><a 
href=/docs/>Documentation</a></li><li class=breadcrumb-item><a 
href=/docs/guides/>GUIDES</a></li><li class="breadcrumb-item active" 
aria-current=page><a href=/docs/guides/architectural/>Architecture 
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diff --git a/docs/guides/index.xml b/docs/guides/index.xml
index d2b7cd89..9a1b52c5 100644
--- a/docs/guides/index.xml
+++ b/docs/guides/index.xml
@@ -1,6 +1,6 @@
 <rss version="2.0" 
xmlns:atom="http://www.w3.org/2005/Atom";><channel><title>HugeGraph – 
GUIDES</title><link>/docs/guides/</link><description>Recent content in GUIDES 
on HugeGraph</description><generator>Hugo -- gohugo.io</generator><atom:link 
href="/docs/guides/index.xml" rel="self" 
type="application/rss+xml"/><item><title>Docs: HugeGraph Architecture 
Overview</title><link>/docs/guides/architectural/</link><pubDate>Mon, 01 Jan 
0001 00:00:00 +0000</pubDate><guid>/docs/guides/architectural [...]
 &lt;h3 id="1-overview">1 Overview&lt;/h3>
-&lt;p>As a general-purpose graph database product, HugeGraph needs to possess 
basic graph database functionality. HugeGraph supports two types of graph 
computation: OLTP and OLAP. For OLTP, it implements the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and 
supports the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> and &lt;a 
href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> query languages. It 
comes with a complete applicatio [...]
+&lt;p>As a full-stack graph system covering &lt;strong>Graph Database, Graph 
Computing, and Graph AI&lt;/strong>, HugeGraph is centered around a 
high-performance graph engine (HugeGraph Server) and supports both OLTP and 
OLAP graph computation types. For the OLTP layer, it implements the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and 
supports the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> and &lt;a 
href="https://en.wikipedia.or [...]
 &lt;p>Below is the overall architecture diagram of HugeGraph:&lt;/p>
 &lt;div style="text-align: center;">
 &lt;img src="/docs/images/design/architectural-revised.png" alt="image">
diff --git a/docs/index.xml b/docs/index.xml
index ceb42aaf..ee7a3cc0 100644
--- a/docs/index.xml
+++ b/docs/index.xml
@@ -1,6 +1,6 @@
 <rss version="2.0" 
xmlns:atom="http://www.w3.org/2005/Atom";><channel><title>HugeGraph – 
Documentation</title><link>/docs/</link><description>Recent content in 
Documentation on HugeGraph</description><generator>Hugo -- 
gohugo.io</generator><atom:link href="/docs/index.xml" rel="self" 
type="application/rss+xml"/><item><title>Docs: HugeGraph Architecture 
Overview</title><link>/docs/guides/architectural/</link><pubDate>Mon, 01 Jan 
0001 00:00:00 +0000</pubDate><guid>/docs/guides/architectural [...]
 &lt;h3 id="1-overview">1 Overview&lt;/h3>
-&lt;p>As a general-purpose graph database product, HugeGraph needs to possess 
basic graph database functionality. HugeGraph supports two types of graph 
computation: OLTP and OLAP. For OLTP, it implements the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and 
supports the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> and &lt;a 
href="https://en.wikipedia.org/wiki/Cypher";>Cypher&lt;/a> query languages. It 
comes with a complete applicatio [...]
+&lt;p>As a full-stack graph system covering &lt;strong>Graph Database, Graph 
Computing, and Graph AI&lt;/strong>, HugeGraph is centered around a 
high-performance graph engine (HugeGraph Server) and supports both OLTP and 
OLAP graph computation types. For the OLTP layer, it implements the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and 
supports the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> and &lt;a 
href="https://en.wikipedia.or [...]
 &lt;p>Below is the overall architecture diagram of HugeGraph:&lt;/p>
 &lt;div style="text-align: center;">
 &lt;img src="/docs/images/design/architectural-revised.png" alt="image">
diff --git a/docs/introduction/_print/index.html 
b/docs/introduction/_print/index.html
index c4663652..dbb46420 100644
--- a/docs/introduction/_print/index.html
+++ b/docs/introduction/_print/index.html
@@ -1,16 +1,18 @@
-<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/docs/introduction/><link rel=alternate type=applicatio [...]
-Apache HugeGraph is an easy-to-use, efficient, general-purpose open-source 
graph database system
-(Graph Database, GitHub project address), …"><meta property="og:title" 
content="Introduction with HugeGraph"><meta property="og:description" 
content="Apache HugeGraph site"><meta property="og:type" 
content="website"><meta property="og:url" content="/docs/introduction/"><meta 
property="og:site_name" content="HugeGraph"><meta itemprop=name 
content="Introduction with HugeGraph"><meta itemprop=description 
content="Apache HugeGraph site"><meta name=twitter:card content="summary"><meta 
name=tw [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=canonical type=text/html 
href=/docs/introduction/><link rel=alternate type=applicatio [...]
+Apache HugeGraph is an easy-to-use, efficient, and general-purpose open-source 
full-stack graph system (GitHub), covering …"><meta property="og:title" 
content="Introduction with HugeGraph"><meta property="og:description" 
content="Apache HugeGraph site"><meta property="og:type" 
content="website"><meta property="og:url" content="/docs/introduction/"><meta 
property="og:site_name" content="HugeGraph"><meta itemprop=name 
content="Introduction with HugeGraph"><meta itemprop=description content [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
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 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/introduction/>Return to the regular view of this 
page</a>.</p></div><h1 class=title>Introduction with 
HugeGraph</h1><ul></ul><div class=content><h3 id=summary>Summary</h3><p>Apache 
HugeGraph is an easy-to-use, efficient, general-purpose open-source graph 
database system
-(Graph Database, <a href=https://github.com/apache/hugegraph>GitHub project 
address</a>), implementing the <a href=https://tinkerpop.apache.org>Apache 
TinkerPop3</a> framework and fully compatible with the <a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
-while also supporting the <a href=https://opencypher.org/>Cypher</a> query 
language (OpenCypher standard).
-With complete toolchain components, it helps users easily build applications 
and products based on graph databases. HugeGraph supports fast import of more 
than 10 billion vertices and edges, and provides millisecond-level relational 
query capability (OLTP).
-It also supports large-scale distributed graph computing (OLAP).</p><p>Typical 
application scenarios of HugeGraph include deep relationship exploration, 
association analysis, path search, feature extraction, data clustering, 
community detection, knowledge graph, etc., and are applicable to business 
fields such as network security, telecommunication fraud, financial risk 
control, advertising recommendation, social network, and intelligence Robots, 
etc.</p><h3 id=features>Features</h3><p>H [...]
-HugeGraph supports multi-user parallel operations. Users can enter 
Gremlin/Cypher query statements and get graph query results in time. They can 
also call the HugeGraph API in user programs for graph analysis or 
queries.</p><p>This system has the following features:</p><ul><li>Ease of use: 
HugeGraph supports the Gremlin/Cypher graph query languages and a RESTful API, 
providing common interfaces for graph retrieval, and peripheral tools with 
complete functions to easily implement various  [...]
-visualization management platform, a one-stop visualization analysis platform, 
the platform covers the whole process from data modeling, to fast data import, 
to online and offline analysis of data, and unified management of the 
graph;</li><li><a 
href=/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>: 
HugeGraph-Tools is HugeGraph&rsquo;s deployment and management tool, including 
graph management, backup/recovery, Gremlin execution and other 
functions.</li></ul></li><li><a hre [...]
-It is an implementation of <a 
href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a>. It can run 
on clusters such as Kubernetes/Yarn, and supports large-scale graph computing. 
Also provides Vermeer lightweight graph computing engine, suitable for quick 
start and small-to-medium scale graph analysis.</li><li><a 
href=/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>: HugeGraph-AI is 
HugeGraph&rsquo;s independent AI
-component, providing LLM/GraphRAG intelligent Q&A, automated knowledge graph 
construction, graph neural network training/inference, Python-Client and other 
features, with 20+ built-in graph machine learning algorithms, continuously 
updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: Feedback on 
usage issues and functional requirements (quick response)</li><li>Feedback 
Email: <a href=mailto:[email protected]. [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/introduction/>Return to the regular view of this 
page</a>.</p></div><h1 class=title>Introduction with 
HugeGraph</h1><ul></ul><div class=content><h3 id=what-is-apache-hugegraph>What 
is Apache HugeGraph?</h3><p><a href=https://hugegraph.apache.org/>Apache 
HugeGraph</a> is an easy-to-use, efficient, and general-purpose open-source 
<strong>full-stack graph system</strong> (<a href=https://github.com/apache/hug 
[...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=core-components>Core 
Components</h3><h4 id=-hugegraph-server--graph-engine-oltp>🗄️ HugeGraph Server 
— Graph Engine (OLTP)</h4><p>The core module of the HugeGraph project, 
providing high-performance graph data storage and real-time query 
capabilities:</p><ul><li><strong>Core Engine</strong>: Supports Property Graph 
modeling, including complete Schema management for VertexLabel, EdgeLabel, 
PropertyKey, and IndexLabel.</li><li><strong>Dual Query L [...]
+</span></span></code></pre></div><hr><h3 id=quick-start-navigation>Quick Start 
Navigation</h3><table><thead><tr><th>I want to&mldr;</th><th>Start 
Here</th></tr></thead><tbody><tr><td>🚀 <strong>Quick 
Experience</strong></td><td><a 
href=/docs/quickstart/hugegraph/hugegraph-server>Docker 
Deployment</a></td></tr><tr><td>🔍 <strong>Run Graph Queries</strong> 
(OLTP)</td><td><a href=/docs/quickstart/hugegraph/hugegraph-server>Server Quick 
Start</a></td></tr><tr><td>📈 <strong>Large-scale Graph Co [...]
 <script src=/js/bootstrap.min.js></script>
 <script src=/js/mermaid.min.js></script>
 <script src=/js/tabpane-persist.js></script>
diff --git a/docs/introduction/index.html b/docs/introduction/index.html
index 836b8ad1..2894fb53 100644
--- a/docs/introduction/index.html
+++ b/docs/introduction/index.html
@@ -1,20 +1,22 @@
-<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=alternate type=text/html 
href=/docs/introduction/_print/><link rel=alternate type=app [...]
-Apache HugeGraph is an easy-to-use, efficient, general-purpose open-source 
graph database system
-(Graph Database, GitHub project address), …"><meta property="og:title" 
content="Introduction with HugeGraph"><meta property="og:description" 
content="Apache HugeGraph site"><meta property="og:type" 
content="website"><meta property="og:url" content="/docs/introduction/"><meta 
property="og:site_name" content="HugeGraph"><meta itemprop=name 
content="Introduction with HugeGraph"><meta itemprop=description 
content="Apache HugeGraph site"><meta name=twitter:card content="summary"><meta 
name=tw [...]
+<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta 
name=viewport 
content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta 
http-equiv=content-security-policy content="script-src 'self' 'unsafe-inline'; 
script-src-elem 'self' 'unsafe-inline' https://code.jquery.com 
https://cdn.jsdelivr.net https://fonts.googleapis.com;";><meta name=generator 
content="Hugo 0.102.3"><link rel=alternate type=text/html 
href=/docs/introduction/_print/><link rel=alternate type=app [...]
+Apache HugeGraph is an easy-to-use, efficient, and general-purpose open-source 
full-stack graph system (GitHub), covering …"><meta property="og:title" 
content="Introduction with HugeGraph"><meta property="og:description" 
content="Apache HugeGraph site"><meta property="og:type" 
content="website"><meta property="og:url" content="/docs/introduction/"><meta 
property="og:site_name" content="HugeGraph"><meta itemprop=name 
content="Introduction with HugeGraph"><meta itemprop=description content [...]
 <link rel=stylesheet 
href=/css/prism.css><script>document.addEventListener("DOMContentLoaded",function(){var
 t=document.querySelectorAll("pre code.language-mermaid, code.language-mermaid, 
pre code.language-fallback, 
code.language-fallback"),e=[];t.forEach(function(t){var 
n=t.textContent.trim();(n.match(/^(graph|flowchart|sequenceDiagram|classDiagram|pie|gitgraph|erDiagram|journey|gantt|stateDiagram|mindmap|timeline|quadrantChart)/m)||n.includes("-->")||n.includes("->")||n.includes("style
 [...]
 <a 
href=https://github.com/apache/hugegraph-doc/edit/master/content/en/docs/introduction/_index.md
 class=td-page-meta--edit target=_blank rel=noopener><i class="fa fa-edit 
fa-fw"></i> Edit this page</a>
 <a 
href="https://github.com/apache/hugegraph-doc/new/master/content/en/docs/introduction/_index.md?filename=change-me.md&value=---%0Atitle%3A+%22Long+Page+Title%22%0AlinkTitle%3A+%22Short+Nav+Title%22%0Aweight%3A+100%0Adescription%3A+%3E-%0A+++++Page+description+for+heading+and+indexes.%0A---%0A%0A%23%23+Heading%0A%0AEdit+this+template+to+create+your+new+page.%0A%0A%2A+Give+it+a+good+name%2C+ending+in+%60.md%60+-+e.g.+%60getting-started.md%60%0A%2A+Edit+the+%22front+matter%22+section+at+
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 <a 
href="https://github.com/apache/hugegraph-doc/issues/new?title=Introduction%20with%20HugeGraph";
 class=td-page-meta--issue target=_blank rel=noopener><i class="fab fa-github 
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-<a id=print href=/docs/introduction/_print/><i class="fa fa-print fa-fw"></i> 
Print entire section</a></div><div class=td-toc><nav 
id=TableOfContents><ul><li><ul><li><a href=#summary>Summary</a></li><li><a 
href=#features>Features</a></li><li><a href=#deployment-modes>Deployment 
Modes</a></li><li><a href=#quick-start-guide>Quick Start Guide</a></li><li><a 
href=#system-functions>System Functions</a></li><li><a 
href=#modules>Modules</a></li><li><a href=#contact-us>Contact 
Us</a></li></ul></ [...]
-(Graph Database, <a href=https://github.com/apache/hugegraph>GitHub project 
address</a>), implementing the <a href=https://tinkerpop.apache.org>Apache 
TinkerPop3</a> framework and fully compatible with the <a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
-while also supporting the <a href=https://opencypher.org/>Cypher</a> query 
language (OpenCypher standard).
-With complete toolchain components, it helps users easily build applications 
and products based on graph databases. HugeGraph supports fast import of more 
than 10 billion vertices and edges, and provides millisecond-level relational 
query capability (OLTP).
-It also supports large-scale distributed graph computing (OLAP).</p><p>Typical 
application scenarios of HugeGraph include deep relationship exploration, 
association analysis, path search, feature extraction, data clustering, 
community detection, knowledge graph, etc., and are applicable to business 
fields such as network security, telecommunication fraud, financial risk 
control, advertising recommendation, social network, and intelligence Robots, 
etc.</p><h3 id=features>Features</h3><p>H [...]
-HugeGraph supports multi-user parallel operations. Users can enter 
Gremlin/Cypher query statements and get graph query results in time. They can 
also call the HugeGraph API in user programs for graph analysis or 
queries.</p><p>This system has the following features:</p><ul><li>Ease of use: 
HugeGraph supports the Gremlin/Cypher graph query languages and a RESTful API, 
providing common interfaces for graph retrieval, and peripheral tools with 
complete functions to easily implement various  [...]
-visualization management platform, a one-stop visualization analysis platform, 
the platform covers the whole process from data modeling, to fast data import, 
to online and offline analysis of data, and unified management of the 
graph;</li><li><a 
href=/docs/quickstart/toolchain/hugegraph-tools>HugeGraph-Tools</a>: 
HugeGraph-Tools is HugeGraph&rsquo;s deployment and management tool, including 
graph management, backup/recovery, Gremlin execution and other 
functions.</li></ul></li><li><a hre [...]
-It is an implementation of <a 
href=https://kowshik.github.io/JPregel/pregel_paper.pdf>Pregel</a>. It can run 
on clusters such as Kubernetes/Yarn, and supports large-scale graph computing. 
Also provides Vermeer lightweight graph computing engine, suitable for quick 
start and small-to-medium scale graph analysis.</li><li><a 
href=/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>: HugeGraph-AI is 
HugeGraph&rsquo;s independent AI
-component, providing LLM/GraphRAG intelligent Q&A, automated knowledge graph 
construction, graph neural network training/inference, Python-Client and other 
features, with 20+ built-in graph machine learning algorithms, continuously 
updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/hugegraph/issues>GitHub Issues</a>: Feedback on 
usage issues and functional requirements (quick response)</li><li>Feedback 
Email: <a href=mailto:[email protected]. [...]
+<a id=print href=/docs/introduction/_print/><i class="fa fa-print fa-fw"></i> 
Print entire section</a></div><div class=td-toc><nav 
id=TableOfContents><ul><li><ul><li><a href=#what-is-apache-hugegraph>What is 
Apache HugeGraph?</a></li><li><a href=#ecosystem-overview>Ecosystem 
Overview</a></li><li><a href=#core-components>Core Components</a></li><li><a 
href=#deployment-modes>Deployment Modes</a></li><li><a 
href=#quick-start-navigation>Quick Start Navigation</a></li><li><a 
href=#system-feat [...]
+</span></span><span style=display:flex><span>│         Apache HugeGraph - 
Full-Stack Graph System           │
+</span></span><span 
style=display:flex><span>├──────────────────┬────────────────────┬──────────────────────┤
+</span></span><span style=display:flex><span>│  Graph DB (OLTP) │    Graph 
Compute   │       Graph AI       │
+</span></span><span style=display:flex><span>│  HugeGraph       │  Vermeer 
(Memory)  │    HugeGraph-AI      │
+</span></span><span style=display:flex><span>│  Server          │  Computer 
(Dist.)  │  GraphRAG/GNN/Py     │
+</span></span><span 
style=display:flex><span>├──────────────────┴────────────────────┴──────────────────────┤
+</span></span><span style=display:flex><span>│                    HugeGraph 
Toolchain                       │
+</span></span><span style=display:flex><span>│  Hubble | Loader | 
Client(Java/Go/Py) | Spark | Tools        │
+</span></span><span 
style=display:flex><span>└──────────────────────────────────────────────────────────────┘
+</span></span></code></pre></div><hr><h3 id=core-components>Core 
Components</h3><h4 id=-hugegraph-server--graph-engine-oltp>🗄️ HugeGraph Server 
— Graph Engine (OLTP)</h4><p>The core module of the HugeGraph project, 
providing high-performance graph data storage and real-time query 
capabilities:</p><ul><li><strong>Core Engine</strong>: Supports Property Graph 
modeling, including complete Schema management for VertexLabel, EdgeLabel, 
PropertyKey, and IndexLabel.</li><li><strong>Dual Query L [...]
+</span></span></code></pre></div><hr><h3 id=quick-start-navigation>Quick Start 
Navigation</h3><table><thead><tr><th>I want to&mldr;</th><th>Start 
Here</th></tr></thead><tbody><tr><td>🚀 <strong>Quick 
Experience</strong></td><td><a 
href=/docs/quickstart/hugegraph/hugegraph-server>Docker 
Deployment</a></td></tr><tr><td>🔍 <strong>Run Graph Queries</strong> 
(OLTP)</td><td><a href=/docs/quickstart/hugegraph/hugegraph-server>Server Quick 
Start</a></td></tr><tr><td>📈 <strong>Large-scale Graph Co [...]
 <script src=/js/bootstrap.min.js></script>
 <script src=/js/mermaid.min.js></script>
 <script src=/js/tabpane-persist.js></script>
diff --git a/en/sitemap.xml b/en/sitemap.xml
index 1a2265c2..5eda59dc 100644
--- a/en/sitemap.xml
+++ b/en/sitemap.xml
@@ -1 +1 @@
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xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/docs/guides/architectural/</loc><lastmod>2026-02-03T17:34:32+08:00</lastmod><xhtml:link
 rel="alternate" hreflang="cn" 
href="/cn/docs/guides/architectural/"/><xhtml:link rel="alternate" 
hreflang="en" 
href="/docs/guides/architectural/"/></url><url><loc>/docs/clients/restful-api/graphspace/</loc><lastmod>2026-02-02T17:09:34+
 [...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"; 
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/docs/guides/architectural/</loc><lastmod>2026-03-09T20:36:34+08:00</lastmod><xhtml:link
 rel="alternate" hreflang="cn" 
href="/cn/docs/guides/architectural/"/><xhtml:link rel="alternate" 
hreflang="en" 
href="/docs/guides/architectural/"/></url><url><loc>/docs/clients/restful-api/graphspace/</loc><lastmod>2026-02-02T17:09:34+
 [...]
\ No newline at end of file
diff --git a/sitemap.xml b/sitemap.xml
index 52bf1f5c..9bdd157c 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><sitemapindex 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2026-02-26T11:17:25+08:00</lastmod></sitemap><sitemap><loc>/en/sitemap.xml</loc><lastmod>2026-02-26T11:17:25+08:00</lastmod></sitemap></sitemapindex>
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><sitemapindex 
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2026-03-09T20:36:34+08:00</lastmod></sitemap><sitemap><loc>/en/sitemap.xml</loc><lastmod>2026-03-09T20:36:34+08:00</lastmod></sitemap></sitemapindex>
\ No newline at end of file

(hugegraph-doc) branch asf-site updated: docs: describe HugeGraph as full-stack graph system (#456)

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