Update README.md

README.md

@@ -36,6 +36,7 @@ This repository hosts the code of LightRAG. The structure of this code is based
 </div>
 
 ## 🎉 News
+
 - [x] [2025.02.05]🎯📢Our team has released [VideoRAG](https://github.com/HKUDS/VideoRAG) understanding extremely long-context videos.
 - [x] [2025.01.13]🎯📢Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models.
 - [x] [2025.01.06]🎯📢You can now [use PostgreSQL for Storage](#using-postgresql-for-storage).
@@ -84,7 +85,7 @@ Use the below Python snippet (in a script) to initialize LightRAG and perform qu
 
 ```python
 import os
-from lightrag.lightrag import LightRAG, QueryParam
+from lightrag import LightRAG, QueryParam
 from lightrag.llm.openai import gpt_4o_mini_complete, gpt_4o_complete, openai_embed
 
 #########
@@ -134,7 +135,7 @@ print(rag.query("What are the top themes in this story?", param=QueryParam(
 LightRAG now supports multi-turn dialogue through the conversation history feature. Here's how to use it:
 
 ```python
-from lightrag.lightrag import LightRAG, QueryParam
+from lightrag import LightRAG, QueryParam
 
 # Initialize LightRAG
 rag = LightRAG(working_dir=WORKING_DIR)
@@ -164,7 +165,7 @@ response = rag.query(
 LightRAG now supports custom prompts for fine-tuned control over the system's behavior. Here's how to use it:
 
 ```python
-from lightrag.lightrag import LightRAG, QueryParam
+from lightrag import LightRAG, QueryParam
 
 # Initialize LightRAG
 rag = LightRAG(working_dir=WORKING_DIR)