chore: reformat doc

README.md

@@ -1,4 +1,5 @@
 # hugegraph-ai
+
 [![License](https://img.shields.io/badge/license-Apache%202-0E78BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
 
 `hugegraph-ai` aims to explore the integration of [HugeGraph](https://github.com/apache/hugegraph) with artificial 
@@ -7,6 +8,7 @@ in their projects.
 
 
 ## Modules
+
 - [hugegraph-llm](./hugegraph-llm):The `hugegraph-llm` will house the implementation and research related to large language models.
 It will include runnable demos and can also be used as a third-party library, reducing the cost of using graph systems 
 and the complexity of building knowledge graphs. Graph systems can help large models address challenges like timeliness 
@@ -19,24 +21,26 @@ to seamlessly connect with third-party graph-related ML frameworks.
 It is used to define graph structures and perform CRUD operations on graph data. Both the `hugegraph-llm` and `hugegraph-ml` 
 modules will depend on this foundational library. 
 
+
 ## Contributing
+
 - Welcome to contribute to HugeGraph, please see [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for more information.  
 - Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/) to greatly simplify the PR and commit process.  
 - Code format: Please run [`./style/code_format_and_analysis.sh`](style/code_format_and_analysis.sh) to format your code before submitting a PR.
 - Thank you to all the people who already contributed to HugeGraph!
 
 [![contributors graph](https://contrib.rocks/image?repo=apache/incubator-hugegraph-ai)](https://github.com/apache/incubator-hugegraph-ai/graphs/contributors)
+
+
 ## License
 
-hugegraph-ai is licensed under `Apache 2.0` License.
+hugegraph-ai is licensed under [Apache 2.0 License](./LICENSE).
 
-### Contact Us
 
----
+## Contact Us
 
  - [GitHub Issues](https://github.com/apache/incubator-hugegraph-ai/issues): Feedback on usage issues and functional requirements (quick response)
  - Feedback Email: [[email protected]](mailto:[email protected]) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/) only)
  - WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us.
 
  <img src="https://raw.githubusercontent.com/apache/incubator-hugegraph-doc/master/assets/images/wechat.png" alt="QR png" width="350"/>
-

hugegraph-llm/README.md

@@ -2,7 +2,7 @@
 
 ## Summary
 
-The hugegraph-llm is a tool for the implementation and research related to large language models.
+The `hugegraph-llm` is a tool for the implementation and research related to large language models.
 This project includes runnable demos, it can also be used as a third-party library.
 
 As we know, graph systems can help large models address challenges like timeliness and hallucination,
@@ -15,13 +15,13 @@ graph systems and large language models.
 2.  Use natural language to operate graph databases (gremlin)
 3.  Knowledge graph supplements answer context (RAG)
 
-# Examples
+## Examples
 
-## Examples (knowledge graph construction by llm)
+### Examples (knowledge graph construction by llm)
 
-> 1. Start the HugeGraph database, you can do it via Docker. Refer to this [link](https://hub.docker.com/r/hugegraph/hugegraph) for guidance
-> 2. Run example like `python hugegraph-llm/examples/build_kg_test.py`
-> 
+1. Start the HugeGraph database, you can do it via Docker. Refer to this [link](https://hub.docker.com/r/hugegraph/hugegraph) for guidance
+2. Run example like `python hugegraph-llm/examples/build_kg_test.py`
+
 > Note: If you need a proxy to access OpenAI's API, please set your HTTP proxy in `build_kg_test.py`.
 
 The `KgBuilder` class is used to construct a knowledge graph. Here is a brief usage guide:

hugegraph-ml/README.md

@@ -0,0 +1 @@
+

hugegraph-python-client/README.md

@@ -2,17 +2,17 @@
 
 A Python SDK for Apache HugeGraph
 
-# Installation
+## Installation
 
 ```shell
 pip3 install hugegraph-python
 ```
 
-## Install from source
+### Install from source
 
 release soon
 
-# Examples
+## Examples
 
 ```python
 from pyhugegraph.client import PyHugeClient