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HamaWhiteGG authored Aug 17, 2023
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Expand Up @@ -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).

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%;">

The following example can view in the [langchain-example](langchain-examples/src/main/java/com/hw/langchain/examples)

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</dependency>
```


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%;">


### 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.
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