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cpc1986 · Aug 17, 2023 · d8584f4 · d8584f4
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@@ -8,7 +8,11 @@ This is the Java language implementation of LangChain.
 
 Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.
 
-This library is aimed at assisting in the development of those types of applications. Looking for the Python version? Check out [LangChain](https://github.com/hwchase17/langchain).  
+This library is aimed at assisting in the development of those types of applications. Looking for the Python version? Check out [LangChain](https://github.com/langchain-ai/langchain).  
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+If you use WeChat, you can join the following group.
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+<img src="https://github.com/HamaWhiteGG/langchain-java/blob/dev/docs/images/wechat-group.png" alt="wechat-group.png" style="width:40%;">
 
 The following example can view in the [langchain-example](langchain-examples/src/main/java/com/hw/langchain/examples)
 
@@ -42,12 +46,6 @@ Prerequisites for building:
 </dependency>
 ```
 
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-If you use WeChat, you can join the following group.
-
-<img src="https://github.com/HamaWhiteGG/langchain-java/blob/dev/docs/images/wechat-group.png" alt="wechat-group.png" style="width:40%;">
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 ### 3.2 Environment Setup
 Using LangChain will usually require integrations with one or more model providers, data stores, apis, etc. 
 For this example, we will be using OpenAI’s APIs.