returnToInnocence commented on code in PR #99:
URL: 
https://github.com/apache/incubator-hugegraph-ai/pull/99#discussion_r1822249850


##########
hugegraph-llm/README.md:
##########
@@ -15,25 +15,28 @@ graph systems and large language models.
 2.  Use natural language to operate graph databases (Gremlin/Cypher)
 3.  Knowledge graph supplements answer context (GraphRAG)
 
-## Environment Requirements
+## 2 Environment Requirements
 
 - python 3.9+ 
 - hugegraph-server 1.2+
 
-## Preparation
+## 3 Preparation
+
+1. Start the HugeGraph database, you can run it via 
[Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary 
Package](https://hugegraph.apache.org/docs/download/download/).  
+    Refer to detailed 
[doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev)
 for more guidance
 
-1. Start the HugeGraph database, you can run it via 
[Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary 
Package](https://hugegraph.apache.org/docs/download/download/).
-Refer to detailed 
[doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#31-use-docker-container-convenient-for-testdev)
 for more guidance (PS: Graph visualization in step8)
 2. Clone this project
     ```bash
     git clone https://github.com/apache/incubator-hugegraph-ai.git
     ```
+    

Review Comment:
   Because I think unrendered text is easier to read with blank lines



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