As shown in the above images, with the help of the HTTP module, you can easily integrate a search engine. Here, we take calling the Google Search API as an example.
## Register Google Search API
[Refer to this article to register the Google Search API](https://zhuanlan.zhihu.com/p/174666017)
## Create a Google Search interface
[Here, we use laf to quickly implement an interface, which can be written and published without deployment. Click to open laf cloud](https://laf.dev/), make sure to open the POST request method.
prompt:`Here are the search results from Google: ${result}`,
searchKey:`\nSearch term: ${searchKey}`
};
}catch(err){
console.log(err);
return{
prompt:''
};
}
}
```
## Workflow
Drag out a FastGPT workflow as shown in the image, where the request URL of the HTTP module is the interface address, and the input and output parameters are as follows:
**Input**
```
searchKey: Search Key Word
```
**Output**
```
prompt: Search Result
```
- The HTTP module will send the searchKey to laf, and laf will perform a Google search based on the received input. It will then return the search results through the prompt parameter.
- After receiving the response, the HTTP module connects to the prompt of the "AI Dialogue" to guide the model in providing an answer.
