(hugegraph-doc) branch docusaurus-issue-103-preview updated: docs: localize external documentation images

Tue, 05 May 2026 07:13:43 -0700 

This is an automated email from the ASF dual-hosted git repository.

VGalaxies pushed a commit to branch docusaurus-issue-103-preview
in repository https://gitbox.apache.org/repos/asf/hugegraph-doc.git


The following commit(s) were added to refs/heads/docusaurus-issue-103-preview 
by this push:
     new 8db9e144 docs: localize external documentation images
8db9e144 is described below

commit 8db9e14461059b88b9ddfed0ed407f84d9f2c20a
Author: VGalaxies <[email protected]>
AuthorDate: Tue May 5 14:13:09 2026 +0000

    docs: localize external documentation images
---
 .../cn/community/contribution-guidelines/contribute.md |   6 +++---
 content/cn/docs/clients/restful-api/traverser.md       |   2 +-
 content/cn/docs/introduction/_index.md                 |   2 +-
 content/cn/docs/quickstart/hugegraph-ai/_index.md      |   2 +-
 .../cn/docs/quickstart/hugegraph-ai/hugegraph-llm.md   |   2 +-
 content/cn/docs/quickstart/hugegraph-ai/quick_start.md |  16 ++++++++--------
 .../en/community/contribution-guidelines/contribute.md |   6 +++---
 content/en/docs/clients/restful-api/traverser.md       |   2 +-
 content/en/docs/introduction/_index.md                 |   2 +-
 content/en/docs/quickstart/hugegraph-ai/_index.md      |   2 +-
 .../en/docs/quickstart/hugegraph-ai/hugegraph-llm.md   |   2 +-
 content/en/docs/quickstart/hugegraph-ai/quick_start.md |  16 ++++++++--------
 .../images/clients/restful-api/tinkerpop-modern.png    | Bin 0 -> 179915 bytes
 .../community/contribution-guide/contribution-flow.png | Bin 0 -> 203983 bytes
 .../community/contribution-guide/github-email.png      | Bin 0 -> 250665 bytes
 .../community/contribution-guide/github-token.png      | Bin 0 -> 185578 bytes
 .../26641e09-249f-4b3a-8013-16dc9383d333.png           | Bin 0 -> 18059 bytes
 .../33698062-e46b-4757-8b5e-93e8f10eae65.png           | Bin 0 -> 239088 bytes
 .../7d4496a3-d44c-4491-9463-8e93595dfa45.png           | Bin 0 -> 29010 bytes
 .../b49e269f-eaec-40b1-8d8f-9e409821d75d.png           | Bin 0 -> 164923 bytes
 .../d2a72f45-488c-4099-968b-a11816655ba0.png           | Bin 0 -> 5076 bytes
 .../f3366d46-2e31-4638-94c4-7214951ef77a.png           | Bin 0 -> 281542 bytes
 .../fc678369-261d-49ea-a289-1ca6ade5ca55.png           | Bin 0 -> 277096 bytes
 .../fd150f87-27f8-48e5-8a55-319ec039b7e0.png           | Bin 0 -> 83703 bytes
 static/docs/images/wechat.png                          | Bin 0 -> 37406 bytes
 25 files changed, 30 insertions(+), 30 deletions(-)

diff --git a/content/cn/community/contribution-guidelines/contribute.md 
b/content/cn/community/contribution-guidelines/contribute.md
index 77cb83a6..28d0ad89 100644
--- a/content/cn/community/contribution-guidelines/contribute.md
+++ b/content/cn/community/contribution-guidelines/contribute.md
@@ -12,7 +12,7 @@ Thanks for taking the time to contribute! As an open source 
project, HugeGraph i
 
 The following is a contribution guide for HugeGraph:
 
-<img width="884" alt="image" 
src="https://user-images.githubusercontent.com/9625821/159643158-8bf72c0a-93c3-4a58-8912-7b2ab20ced1d.png";>
+<img width="884" alt="image" 
src="/docs/images/community/contribution-guide/contribution-flow.png">
 
 ## 1. Preparation
 
@@ -125,14 +125,14 @@ git push origin bugfix-branch:bugfix-branch
 ```
 
 Note that since GitHub requires submitting code through `username + token` 
(instead of using `username + password` directly), you need to create a GitHub 
token from https://github.com/settings/tokens:
-<img width="1280" alt="image" 
src="https://user-images.githubusercontent.com/9625821/163524204-7fe0e6bf-9c8b-4b1a-ac65-6a0ac423eb16.png";>
+<img width="1280" alt="image" 
src="/docs/images/community/contribution-guide/github-token.png">
 
 ## 4. Create a Pull Request
 
 Go to the web page of GitHub fork repo, there would be a chance to create a 
Pull Request after pushing to a new branch, just click button "Compare & pull 
request" to do it. Then edit the description for proposed changes, which can 
just be copied from the commit message.
 
 Note: please make sure the email address you used to submit the code is bound 
to the GitHub account. For how to bind the email address, please refer to 
https://github.com/settings/emails:
-<img width="1280" alt="image" 
src="https://user-images.githubusercontent.com/9625821/163522445-2a50a72a-dea2-434f-9868-3a0d40d0d037.png";>
+<img width="1280" alt="image" 
src="/docs/images/community/contribution-guide/github-email.png">
 
 ## 5. Code review
 
diff --git a/content/cn/docs/clients/restful-api/traverser.md 
b/content/cn/docs/clients/restful-api/traverser.md
index 3d4f210b..192be824 100644
--- a/content/cn/docs/clients/restful-api/traverser.md
+++ b/content/cn/docs/clients/restful-api/traverser.md
@@ -55,7 +55,7 @@ HugeGraph 支持的 Traverser API 包括：
 
 使用方法中的例子，都是基于 TinkerPop 官网给出的图：
 
-![tinkerpop 
示例图](http://tinkerpop.apache.org/docs/3.4.0/images/tinkerpop-modern.png)
+![tinkerpop 示例图](/docs/images/clients/restful-api/tinkerpop-modern.png)
 
 数据导入程序如下：
 
diff --git a/content/cn/docs/introduction/_index.md 
b/content/cn/docs/introduction/_index.md
index c5f4f154..be09d21d 100644
--- a/content/cn/docs/introduction/_index.md
+++ b/content/cn/docs/introduction/_index.md
@@ -145,4 +145,4 @@ docker run -itd --name=hugegraph -p 8080:8080 
hugegraph/hugegraph
 - 安全问题：[[email protected]](mailto:[email protected])
 - 微信公众号：Apache HugeGraph
 
-<img 
src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true";
 alt="微信公众号二维码" width="300"/>
+<img src="/docs/images/wechat.png" alt="微信公众号二维码" width="300"/>
diff --git a/content/cn/docs/quickstart/hugegraph-ai/_index.md 
b/content/cn/docs/quickstart/hugegraph-ai/_index.md
index ace6b4b9..e612a8c0 100644
--- a/content/cn/docs/quickstart/hugegraph-ai/_index.md
+++ b/content/cn/docs/quickstart/hugegraph-ai/_index.md
@@ -180,4 +180,4 @@ hugegraph-ai 采用 [Apache 2.0 
许可证](https://github.com/apache/hugegraph-a
 - 
**电子邮件**：[[email protected]](mailto:[email protected])（[需要订阅](https://hugegraph.apache.org/cn/community/contribution-guidelines/subscribe/)）
 - **微信**：关注 "Apache HugeGraph" 微信公众号
 
-<img 
src="https://raw.githubusercontent.com/apache/hugegraph-doc/master/assets/images/wechat.png";
 alt="Apache HugeGraph WeChat QR Code" width="200"/>
+<img src="/docs/images/wechat.png" alt="Apache HugeGraph WeChat QR Code" 
width="200"/>
diff --git a/content/cn/docs/quickstart/hugegraph-ai/hugegraph-llm.md 
b/content/cn/docs/quickstart/hugegraph-ai/hugegraph-llm.md
index d376b3de..e4947625 100644
--- a/content/cn/docs/quickstart/hugegraph-ai/hugegraph-llm.md
+++ b/content/cn/docs/quickstart/hugegraph-ai/hugegraph-llm.md
@@ -134,7 +134,7 @@ python -m hugegraph_llm.config.generate --update
 - **自定义 
Schema**：遵循我们[模板](https://github.com/apache/hugegraph-ai/blob/aff3bbe25fa91c3414947a196131be812c20ef11/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L125)的
 JSON 格式
 - **HugeGraph Schema**：使用现有图实例的 Schema（例如，“hugegraph”）
 
-![知识图谱构建器](https://hugegraph.apache.org/docs/images/gradio-kg.png)
+![知识图谱构建器](/docs/images/gradio-kg.png)
 
 #### 代码构建
 
diff --git a/content/cn/docs/quickstart/hugegraph-ai/quick_start.md 
b/content/cn/docs/quickstart/hugegraph-ai/quick_start.md
index da148f7e..69bb0e24 100644
--- a/content/cn/docs/quickstart/hugegraph-ai/quick_start.md
+++ b/content/cn/docs/quickstart/hugegraph-ai/quick_start.md
@@ -21,7 +21,7 @@ weight: 4
 
 从文本构建知识图谱、分块向量和图顶点向量。
 
-![image](https://github.com/user-attachments/assets/f3366d46-2e31-4638-94c4-7214951ef77a)
+![image](/docs/images/hugegraph-ai/quick-start/f3366d46-2e31-4638-94c4-7214951ef77a.png)
 
 ```mermaid
 graph TD;
@@ -79,7 +79,7 @@ graph TD;
 
 第一部分处理单个查询，第二部分同时处理多个查询。以下是第一部分的说明。
 
-![image](https://github.com/user-attachments/assets/33698062-e46b-4757-8b5e-93e8f10eae65)
+![image](/docs/images/hugegraph-ai/quick-start/33698062-e46b-4757-8b5e-93e8f10eae65.png)
 
 ```mermaid
 graph TD;
@@ -109,7 +109,7 @@ graph TD;
 - **仅图答案：** 仅使用基于图的检索（在向量数据库中查询图顶点向量和图数据库）
 - **图-向量答案：** 同时使用基于图和基于向量的检索
 
-![image](https://github.com/user-attachments/assets/26641e09-249f-4b3a-8013-16dc9383d333)
+![image](/docs/images/hugegraph-ai/quick-start/26641e09-249f-4b3a-8013-16dc9383d333.png)
 
 ### 执行流程：
 
@@ -117,7 +117,7 @@ graph TD;
 
 - 使用**关键词提取提示词**从**问题**中提取关键词。
 
-![image](https://github.com/user-attachments/assets/b49e269f-eaec-40b1-8d8f-9e409821d75d)
+![image](/docs/images/hugegraph-ai/quick-start/b49e269f-eaec-40b1-8d8f-9e409821d75d.png)
 
 - 使用提取的关键词：
   - 首先，在图数据库中进行精确匹配。
@@ -141,7 +141,7 @@ graph TD;
   - **仅图答案**
   - **图-向量答案**
 
-![image](https://github.com/user-attachments/assets/7d4496a3-d44c-4491-9463-8e93595dfa45)
+![image](/docs/images/hugegraph-ai/quick-start/7d4496a3-d44c-4491-9463-8e93595dfa45.png)
 
 # 4. （处理流程）Text2Gremlin
 
@@ -154,7 +154,7 @@ graph TD;
 
 第一部分较为简单，因此重点介绍第二部分。
 
-![image](https://github.com/user-attachments/assets/fc678369-261d-49ea-a289-1ca6ade5ca55)
+![image](/docs/images/hugegraph-ai/quick-start/fc678369-261d-49ea-a289-1ca6ade5ca55.png)
 
 ```mermaid
 graph TD;
@@ -169,7 +169,7 @@ graph TD;
 
 - **自然语言查询：** 输入要转换为 Gremlin 的自然语言文本。
 
-![image](https://github.com/user-attachments/assets/d2a72f45-488c-4499-968b-a11816655ba0)
+![image](/docs/images/hugegraph-ai/quick-start/d2a72f45-488c-4099-968b-a11816655ba0.png)
 
 - **Schema：** 输入图 schema。
 
@@ -183,7 +183,7 @@ graph TD;
       - 检索**图 schema**。
       - 在向量数据库中查询示例向量，检索与输入查询相似的查询-gremlin 
对（如果向量数据库中缺少示例，将自动使用**resources**文件夹中的示例进行初始化）。
 
-![image](https://github.com/user-attachments/assets/fd150f87-27f8-48e5-8a55-319ec039b7e0)
+![image](/docs/images/hugegraph-ai/quick-start/fd150f87-27f8-48e5-8a55-319ec039b7e0.png)
 
       - 使用构建的提示词生成 Gremlin 查询。
 
diff --git a/content/en/community/contribution-guidelines/contribute.md 
b/content/en/community/contribution-guidelines/contribute.md
index 13fd7606..885ba723 100644
--- a/content/en/community/contribution-guidelines/contribute.md
+++ b/content/en/community/contribution-guidelines/contribute.md
@@ -10,7 +10,7 @@ Thanks for taking the time to contribute! As an open source 
project, HugeGraph i
 
 The following is a contribution guide for HugeGraph:
 
-<img width="884" alt="image" 
src="https://user-images.githubusercontent.com/9625821/159643158-8bf72c0a-93c3-4a58-8912-7b2ab20ced1d.png";>
+<img width="884" alt="image" 
src="/docs/images/community/contribution-guide/contribution-flow.png">
 
 ## 1. Preparation
 
@@ -122,14 +122,14 @@ git push origin bugfix-branch:bugfix-branch
 ```
 
 Note that since GitHub requires submitting code through `username + token` 
(instead of using `username + password` directly), you need to create a GitHub 
token from https://github.com/settings/tokens:
-<img width="1280" alt="image" 
src="https://user-images.githubusercontent.com/9625821/163524204-7fe0e6bf-9c8b-4b1a-ac65-6a0ac423eb16.png";>
+<img width="1280" alt="image" 
src="/docs/images/community/contribution-guide/github-token.png">
 
 ## 4. Create a Pull Request
 
 Go to the web page of GitHub fork repo, there would be a chance to create a 
Pull Request after pushing to a new branch, just click button "Compare & pull 
request" to do it. Then edit the description for proposed changes, which can 
just be copied from the commit message.
 
 Note: please make sure the email address you used to submit the code is bound 
to the GitHub account. For how to bind the email address, please refer to 
https://github.com/settings/emails:
-<img width="1280" alt="image" 
src="https://user-images.githubusercontent.com/9625821/163522445-2a50a72a-dea2-434f-9868-3a0d40d0d037.png";>
+<img width="1280" alt="image" 
src="/docs/images/community/contribution-guide/github-email.png">
 
 ## 5. Code review
 
diff --git a/content/en/docs/clients/restful-api/traverser.md 
b/content/en/docs/clients/restful-api/traverser.md
index 1f7a1e49..80fdf977 100644
--- a/content/en/docs/clients/restful-api/traverser.md
+++ b/content/en/docs/clients/restful-api/traverser.md
@@ -59,7 +59,7 @@ In the following, we provide a detailed explanation of the 
Traverser API:
 
 The usage examples provided in this section are based on the graph presented 
on the TinkerPop official website:
 
-![tinkerpop example 
graph](http://tinkerpop.apache.org/docs/3.4.0/images/tinkerpop-modern.png)
+![tinkerpop example 
graph](/docs/images/clients/restful-api/tinkerpop-modern.png)
 
 The data import program is as follows:
 
diff --git a/content/en/docs/introduction/_index.md 
b/content/en/docs/introduction/_index.md
index c24f01a5..6208e617 100644
--- a/content/en/docs/introduction/_index.md
+++ b/content/en/docs/introduction/_index.md
@@ -142,4 +142,4 @@ docker run -itd --name=hugegraph -p 8080:8080 
hugegraph/hugegraph
 - Security: 
[[email protected]](mailto:[email protected]) (Report 
security issues)
 - WeChat Public Account: Apache HugeGraph
 
-<img 
src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true";
 alt="WeChat QR Code" width="300"/>
+<img src="/docs/images/wechat.png" alt="WeChat QR Code" width="300"/>
diff --git a/content/en/docs/quickstart/hugegraph-ai/_index.md 
b/content/en/docs/quickstart/hugegraph-ai/_index.md
index 3f47df47..4de1e013 100644
--- a/content/en/docs/quickstart/hugegraph-ai/_index.md
+++ b/content/en/docs/quickstart/hugegraph-ai/_index.md
@@ -180,4 +180,4 @@ hugegraph-ai is licensed under [Apache 2.0 
License](https://github.com/apache/hu
 - **Email**: [[email protected]](mailto:[email protected]) 
([subscription 
required](https://hugegraph.apache.org/community/contribution-guidelines/subscribe/))
 - **WeChat**: Follow "Apache HugeGraph" on WeChat
 
-<img 
src="https://raw.githubusercontent.com/apache/hugegraph-doc/master/assets/images/wechat.png";
 alt="Apache HugeGraph WeChat QR Code" width="200"/>
+<img src="/docs/images/wechat.png" alt="Apache HugeGraph WeChat QR Code" 
width="200"/>
diff --git a/content/en/docs/quickstart/hugegraph-ai/hugegraph-llm.md 
b/content/en/docs/quickstart/hugegraph-ai/hugegraph-llm.md
index 509bb98b..e47b3ca3 100644
--- a/content/en/docs/quickstart/hugegraph-ai/hugegraph-llm.md
+++ b/content/en/docs/quickstart/hugegraph-ai/hugegraph-llm.md
@@ -136,7 +136,7 @@ Use the Gradio interface for visual knowledge graph 
building:
 - **Custom Schema**: JSON format following our 
[template](https://github.com/apache/hugegraph-ai/blob/aff3bbe25fa91c3414947a196131be812c20ef11/hugegraph-llm/src/hugegraph_llm/config/config_data.py#L125)
 - **HugeGraph Schema**: Use existing graph instance schema (e.g., "hugegraph")
 
-![Knowledge Graph 
Builder](https://hugegraph.apache.org/docs/images/gradio-kg.png)
+![Knowledge Graph Builder](/docs/images/gradio-kg.png)
 
 #### Programmatic Construction
 
diff --git a/content/en/docs/quickstart/hugegraph-ai/quick_start.md 
b/content/en/docs/quickstart/hugegraph-ai/quick_start.md
index 04852db5..bb42808a 100644
--- a/content/en/docs/quickstart/hugegraph-ai/quick_start.md
+++ b/content/en/docs/quickstart/hugegraph-ai/quick_start.md
@@ -21,7 +21,7 @@ weight: 4
 
 Construct a knowledge graph, chunk vector, and graph vid vector from the text.
 
-![image](https://github.com/user-attachments/assets/f3366d46-2e31-4638-94c4-7214951ef77a)
+![image](/docs/images/hugegraph-ai/quick-start/f3366d46-2e31-4638-94c4-7214951ef77a.png)
 
 ```mermaid
 graph TD;
@@ -81,7 +81,7 @@ This module consists of two parts:
 
 The first part handles single queries, while the second part handles multiple 
queries at once. Below is an explanation of the first part.
 
-![image](https://github.com/user-attachments/assets/33698062-e46b-4757-8b5e-93e8f10eae65)
+![image](/docs/images/hugegraph-ai/quick-start/33698062-e46b-4757-8b5e-93e8f10eae65.png)
 
 
 ```mermaid
@@ -114,7 +114,7 @@ graph TD;
 - **Graph-only Answer:** Uses only graph-based retrieval (queries graph vid 
vectors in the vector database and the graph database)
 - **Graph-Vector Answer:** Uses both graph-based and vector-based retrieval
 
-![image](https://github.com/user-attachments/assets/26641e09-249f-4b3a-8013-16dc9383d333)
+![image](/docs/images/hugegraph-ai/quick-start/26641e09-249f-4b3a-8013-16dc9383d333.png)
 
 ### Execution Flow:
 
@@ -122,7 +122,7 @@ graph TD;
 
 - Extract keywords from the **question** using the **Keywords Extraction 
Prompt**.
 
-![image](https://github.com/user-attachments/assets/b49e269f-eaec-40b1-8d8f-9e409821d75d)
+![image](/docs/images/hugegraph-ai/quick-start/b49e269f-eaec-40b1-8d8f-9e409821d75d.png)
 
 
 - Use the extracted keywords to:
@@ -151,7 +151,7 @@ graph TD;
   - **Graph-only Answer**
   - **Graph-Vector Answer**
 
-![image](https://github.com/user-attachments/assets/7d4496a3-d44c-4491-9463-8e93595dfa45)
+![image](/docs/images/hugegraph-ai/quick-start/7d4496a3-d44c-4491-9463-8e93595dfa45.png)
 
 # 4. (Processing Flow) Text2Gremlin
 
@@ -164,7 +164,7 @@ This module consists of two parts:
 
 The first part is straightforward, so the focus is on the second part.
 
-![image](https://github.com/user-attachments/assets/fc678369-261d-49ea-a289-1ca6ade5ca55)
+![image](/docs/images/hugegraph-ai/quick-start/fc678369-261d-49ea-a289-1ca6ade5ca55.png)
 
 
 ```mermaid
@@ -180,7 +180,7 @@ graph TD;
 
 - **Natural Language** **Query**: Input the natural language text to be 
converted into Gremlin.
 
-![image](https://github.com/user-attachments/assets/d2a72f45-488c-4099-968b-a11816655ba0)
+![image](/docs/images/hugegraph-ai/quick-start/d2a72f45-488c-4099-968b-a11816655ba0.png)
 
 - **Schema:** Input the graph schema.
 
@@ -199,7 +199,7 @@ graph TD;
       - Retrieve the **graph schema**.
       - Query the vector database for example vectors, retrieving 
query-gremlin pairs similar to the input query (if the vector database lacks 
examples, it automatically initializes with examples from the **resources** 
folder).
 
-![image](https://github.com/user-attachments/assets/fd150f87-27f8-48e5-8a55-319ec039b7e0)
+![image](/docs/images/hugegraph-ai/quick-start/fd150f87-27f8-48e5-8a55-319ec039b7e0.png)
 
 
       - Generate the Gremlin query using the constructed prompt.
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