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     new 9ec61fab doc: minor homepage docs updates and add PD and Store 
descriptions (#397) f8b8bddd6123c2cf809ab69bba8c267ed02a7d67
9ec61fab is described below

commit 9ec61faba7f22a1878ff2da3ec171d52d6599a09
Author: imbajin <[email protected]>
AuthorDate: Mon Mar 10 06:37:56 2025 +0000

    doc: minor homepage docs updates and add PD and Store descriptions (#397) 
f8b8bddd6123c2cf809ab69bba8c267ed02a7d67
---
 docs/_print/index.html              |  8 ++++----
 docs/index.xml                      | 14 ++++++++------
 docs/introduction/readme/index.html | 14 +++++++-------
 en/sitemap.xml                      |  2 +-
 sitemap.xml                         |  2 +-
 5 files changed, 21 insertions(+), 19 deletions(-)

diff --git a/docs/_print/index.html b/docs/_print/index.html
index 5027d329..4b68715d 100644
--- a/docs/_print/index.html
+++ b/docs/_print/index.html
@@ -1,11 +1,11 @@
 <!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'; script-src-elem 
'self' 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/><link rel=alternate 
type=application/rss+xml href=/docs/index.xml><meta name=rob [...]
 "><meta property="og:title" content="Documentation"><meta 
property="og:description" content="Apache HugeGraph site"><meta 
property="og:type" content="website"><meta property="og:url" 
content="/docs/"><meta property="og:site_name" content="HugeGraph"><meta 
itemprop=name content="Documentation"><meta itemprop=description 
content="Apache HugeGraph site"><meta name=twitter:card content="summary"><meta 
name=twitter:title content="Documentation"><meta name=twitter:description 
content="Apache H [...]
 <link rel=stylesheet href=/css/prism.css></head><body 
class=td-section><header><nav class="js-navbar-scroll navbar navbar-expand 
navbar-dark flex-column flex-md-row td-navbar"><a class=navbar-brand 
href=/><span class=navbar-logo><svg id="图层_1" data-name="图层 1" 
xmlns="http://www.w3.org/2000/svg"; xmlns:xlink="http://www.w3.org/1999/xlink"; 
viewBox="0 0 16 
16"><defs><style>.logo-cls-1{fill:none;stroke:#fff;stroke-miterlimit:10;stroke-width:.5px;opacity:.3}.logo-cls-2{fill:#229efa}.logo-cls-3
 [...]
-<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Documentation</h1><ul><li>1: <a 
href=#pg-7dd24b6126e5b249f96de862bfc51025>Introduction with 
HugeGraph</a></li><li>2: <a href=#pg-64d47cfe1880443239e7c31f8fd1ac1a>Download 
Apache HugeGraph (Incubating)</a></li><li>3: <a 
href=#pg-08b1b69f6319108b0455d24614fdd660>Quick Start</a></li><ul><li>3.1: <a 
href=#pg-8ec2ee5fd8ff8e48255d55eab65d92b6 [...]
-(Graph Database, <a href=https://github.com/hugegraph/hugegraph>GitHub project 
address</a>), implemented the <a href=https://tinkerpop.apache.org>Apache 
TinkerPop3</a> framework and is fully compatible with the <a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a 
href=/docs/>Return to the regular view of this page</a>.</p></div><h1 
class=title>Documentation</h1><ul><li>1: <a 
href=#pg-7dd24b6126e5b249f96de862bfc51025>Introduction with 
HugeGraph</a></li><li>2: <a href=#pg-64d47cfe1880443239e7c31f8fd1ac1a>Download 
Apache HugeGraph (Incubating)</a></li><li>3: <a 
href=#pg-08b1b69f6319108b0455d24614fdd660>Quick Start</a></li><ul><li>3.1: <a 
href=#pg-8ec2ee5fd8ff8e48255d55eab65d92b6 [...]
+(Graph Database, <a href=https://github.com/hugegraph/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,
 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 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>HugeGr [...]
-HugeGraph supports multi-user parallel operations. Users can enter Gremlin 
query statements and get graph query results in time. They can also call 
HugeGraph API in user programs for graph analysis or query.</p><p>This system 
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin 
graph query language and RESTful API, provides common interfaces for graph 
retrieval, and has peripheral tools with complete functions to easily implement 
various graph-based query and an [...]
+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 
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 graph query language and a RESTful API, providing common interfaces for 
graph retrieval, and peripheral tools with complete functions to easily 
implement various graph-based que [...]
 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/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 href=/docs/qu [...]
 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.</li><li><a href=/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>: 
HugeGraph-AI is HugeGraph&rsquo;s independent AI
 component, providing training and inference functions of graph neural 
networks, LLM/Graph RAG combination/Python-Client and other related components, 
continuously updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/incubator-hugegraph/issues>GitHub Issues</a>: 
Feedback on usage issues and functional requirements (quick 
response)</li><li>Feedback Email: <a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph [...]
diff --git a/docs/index.xml b/docs/index.xml
index 4c162836..3d990e7f 100644
--- a/docs/index.xml
+++ b/docs/index.xml
@@ -1974,17 +1974,17 @@ after the service is stopped artificially, or when the 
service needs to be start
 &lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;h3 
id="8-debug-server-with-intellij-idea">8 Debug Server with IntelliJ IDEA&lt;/h3>
 &lt;p>Please refer to &lt;a 
href="/docs/contribution-guidelines/hugegraph-server-idea-setup">Setup Server 
in IDEA&lt;/a>&lt;/p></description></item><item><title>Docs: Introduction with 
HugeGraph</title><link>/docs/introduction/readme/</link><pubDate>Mon, 01 Jan 
0001 00:00:00 
+0000</pubDate><guid>/docs/introduction/readme/</guid><description>
 &lt;h3 id="summary">Summary&lt;/h3>
-&lt;p>Apache HugeGraph is an easy-to-use, efficient, general-purpose open 
source graph database system
-(Graph Database, &lt;a href="https://github.com/hugegraph/hugegraph";>GitHub 
project address&lt;/a>), implemented the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and is 
fully compatible with the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> query language,
+&lt;p>Apache HugeGraph is an easy-to-use, efficient, general-purpose 
open-source graph database system
+(Graph Database, &lt;a href="https://github.com/hugegraph/hugegraph";>GitHub 
project address&lt;/a>), implementing the &lt;a 
href="https://tinkerpop.apache.org";>Apache TinkerPop3&lt;/a> framework and 
fully compatible with the &lt;a 
href="https://tinkerpop.apache.org/gremlin.html";>Gremlin&lt;/a> query language,
 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 supports large-scale distributed graph computing (OLAP).&lt;/p>
+It also supports large-scale distributed graph computing (OLAP).&lt;/p>
 &lt;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.&lt;/p>
 &lt;h3 id="features">Features&lt;/h3>
-&lt;p>HugeGraph supports graph operations in online and offline environments, 
supports batch import of data, supports efficient complex relationship 
analysis, and can be seamlessly integrated with big data platforms.
-HugeGraph supports multi-user parallel operations. Users can enter Gremlin 
query statements and get graph query results in time. They can also call 
HugeGraph API in user programs for graph analysis or query.&lt;/p>
+&lt;p>HugeGraph supports graph operations in online and offline environments, 
batch importing of data and efficient complex relationship analysis. It can 
seamlessly be integrated with big data platforms.
+HugeGraph supports multi-user parallel operations. Users can enter Gremlin 
query statements and get graph query results in time. They can also call the 
HugeGraph API in user programs for graph analysis or queries.&lt;/p>
 &lt;p>This system has the following features:&lt;/p>
 &lt;ul>
-&lt;li>Ease of use: HugeGraph supports Gremlin graph query language and 
RESTful API, provides common interfaces for graph retrieval, and has peripheral 
tools with complete functions to easily implement various graph-based query and 
analysis operations.&lt;/li>
+&lt;li>Ease of use: HugeGraph supports the Gremlin graph query language and a 
RESTful API, providing common interfaces for graph retrieval, and peripheral 
tools with complete functions to easily implement various graph-based query and 
analysis operations.&lt;/li>
 &lt;li>Efficiency: HugeGraph has been deeply optimized in graph storage and 
graph computing, and provides a variety of batch import tools, which can easily 
complete the rapid import of tens of billions of data, and achieve 
millisecond-level response for graph retrieval through optimized queries. 
Supports simultaneous online real-time operations of thousands of users.&lt;/li>
 &lt;li>Universal: HugeGraph supports the Apache Gremlin standard graph query 
language and the Property Graph standard graph modeling method, and supports 
graph-based OLTP and OLAP schemes. Integrate Apache Hadoop and Apache Spark big 
data platforms.&lt;/li>
 &lt;li>Scalable: supports distributed storage, multiple copies of data, and 
horizontal expansion, built-in multiple back-end storage engines, and can 
easily expand the back-end storage engine through plug-ins.&lt;/li>
@@ -2006,6 +2006,8 @@ HugeGraph supports multi-user parallel operations. Users 
can enter Gremlin query
 &lt;/ul>
 &lt;h3 id="modules">Modules&lt;/h3>
 &lt;ul>
+&lt;li>[HugeGraph-Store]: HugeGraph-Store is a distributed storage engine to 
manage large-scale graph data by integrating storage and computation within a 
unified system.&lt;/li>
+&lt;li>[HugeGraph-PD]: HugeGraph-PD (Placement Driver) manages metadata and 
coordinates storage nodes.&lt;/li>
 &lt;li>&lt;a href="/docs/quickstart/hugegraph-server">HugeGraph-Server&lt;/a>: 
HugeGraph-Server is the core part of the HugeGraph project, containing Core, 
Backend, API and other submodules;
 &lt;ul>
 &lt;li>Core: Implements the graph engine, connects to the Backend module 
downwards, and supports the API module upwards;&lt;/li>
diff --git a/docs/introduction/readme/index.html 
b/docs/introduction/readme/index.html
index f3264405..639edb4b 100644
--- a/docs/introduction/readme/index.html
+++ b/docs/introduction/readme/index.html
@@ -1,19 +1,19 @@
 <!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'; script-src-elem 
'self' 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><link rel=apple-touch-icon href= [...]
-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="Summary Apache HugeGraph is an easy-to-use, efficient, general-purpose 
open source graph database system (Graph Database, GitHub project address), 
implemented the Apache TinkerPop3 framework and is fully compatible with the 
Gremlin query language, With complete toolchain components, it helps users 
easily build applications and products base [...]
+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="Summary Apache HugeGraph is an easy-to-use, efficient, general-purpose 
open-source graph database system (Graph Database, GitHub project address), 
implementing the Apache TinkerPop3 framework and fully compatible with the 
Gremlin query language, With complete toolchain components, it helps users 
easily build applications and products based  [...]
 <link rel=stylesheet href=/css/prism.css></head><body 
class=td-page><header><nav class="js-navbar-scroll navbar navbar-expand 
navbar-dark flex-column flex-md-row td-navbar"><a class=navbar-brand 
href=/><span class=navbar-logo><svg id="图层_1" data-name="图层 1" 
xmlns="http://www.w3.org/2000/svg"; xmlns:xlink="http://www.w3.org/1999/xlink"; 
viewBox="0 0 16 
16"><defs><style>.logo-cls-1{fill:none;stroke:#fff;stroke-miterlimit:10;stroke-width:.5px;opacity:.3}.logo-cls-2{fill:#229efa}.logo-cls-3{fi
 [...]
 <a 
href=https://github.com/apache/incubator-hugegraph-doc/edit/master/content/en/docs/introduction/README.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/incubator-hugegraph-doc/new/master/content/en/docs/introduction/README.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+s
 [...]
 <a 
href="https://github.com/apache/incubator-hugegraph-doc/issues/new?title=Introduction%20with%20HugeGraph";
 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/incubator-hugegraph/issues/new 
class=td-page-meta--project-issue target=_blank rel=noopener><i class="fas 
fa-tasks fa-fw"></i> Create project issue</a>
-<a id=print href=/docs/_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=#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 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol 
class=breadcrumb><li class=breadcrumb-item> [...]
-(Graph Database, <a href=https://github.com/hugegraph/hugegraph>GitHub project 
address</a>), implemented the <a href=https://tinkerpop.apache.org>Apache 
TinkerPop3</a> framework and is fully compatible with the <a 
href=https://tinkerpop.apache.org/gremlin.html>Gremlin</a> query language,
+<a id=print href=/docs/_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=#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 pl-md-5" role=main><nav aria-label=breadcrumb class=td-breadcrumbs><ol 
class=breadcrumb><li class=breadcrumb-item> [...]
+(Graph Database, <a href=https://github.com/hugegraph/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,
 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 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>HugeGr [...]
-HugeGraph supports multi-user parallel operations. Users can enter Gremlin 
query statements and get graph query results in time. They can also call 
HugeGraph API in user programs for graph analysis or query.</p><p>This system 
has the following features:</p><ul><li>Ease of use: HugeGraph supports Gremlin 
graph query language and RESTful API, provides common interfaces for graph 
retrieval, and has peripheral tools with complete functions to easily implement 
various graph-based query and an [...]
+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 
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 graph query language and a RESTful API, providing common interfaces for 
graph retrieval, and peripheral tools with complete functions to easily 
implement various graph-based que [...]
 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/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 href=/docs/qu [...]
 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.</li><li><a href=/docs/quickstart/hugegraph-ai>HugeGraph-AI</a>: 
HugeGraph-AI is HugeGraph&rsquo;s independent AI
-component, providing training and inference functions of graph neural 
networks, LLM/Graph RAG combination/Python-Client and other related components, 
continuously updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/incubator-hugegraph/issues>GitHub Issues</a>: 
Feedback on usage issues and functional requirements (quick 
response)</li><li>Feedback Email: <a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph [...]
+component, providing training and inference functions of graph neural 
networks, LLM/Graph RAG combination/Python-Client and other related components, 
continuously updating.</li></ul><h3 id=contact-us>Contact Us</h3><ul><li><a 
href=https://github.com/apache/incubator-hugegraph/issues>GitHub Issues</a>: 
Feedback on usage issues and functional requirements (quick 
response)</li><li>Feedback Email: <a 
href=mailto:[email protected]>[email protected]</a> (<a 
href=https://hugegraph [...]
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diff --git a/en/sitemap.xml b/en/sitemap.xml
index 845f9bdc..a2620b81 100644
--- a/en/sitemap.xml
+++ b/en/sitemap.xml
@@ -1 +1 @@
-<?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>2023-06-25T21:06:07+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/config/config-guide/</loc><lastmod>2024-11-01T16:27:00+08:00</last
 [...]
\ 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>2023-06-25T21:06:07+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/config/config-guide/</loc><lastmod>2024-11-01T16:27:00+08:00</last
 [...]
\ No newline at end of file
diff --git a/sitemap.xml b/sitemap.xml
index ddc8a192..920d4a7b 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>/en/sitemap.xml</loc><lastmod>2025-02-20T14:44:10+08:00</lastmod></sitemap><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2025-02-20T14:44:10+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>/en/sitemap.xml</loc><lastmod>2025-03-10T01:37:22-05:00</lastmod></sitemap><sitemap><loc>/cn/sitemap.xml</loc><lastmod>2025-02-20T14:44:10+08:00</lastmod></sitemap></sitemapindex>
\ No newline at end of file

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