# Source: https://docs.embedchain.ai/components/data-sources/json.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.embedchain.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 📃 JSON

To add any json file, use the data\_type as `json`. Headers are included for each line, so for example if you have a json like `{"age": 18}`, then it will be added as `age: 18`.

Here are the supported sources for loading `json`:

```
1. URL - valid url to json file that ends with ".json" extension.
2. Local file - valid url to local json file that ends with ".json" extension.
3. String - valid json string (e.g. - app.add('{"foo": "bar"}'))
```

<Tip>
  If you would like to add other data structures (e.g. list, dict etc.), convert it to a valid json first using `json.dumps()` function.
</Tip>

## Example

<CodeGroup>
  ```python python theme={null}
  from embedchain import App

  app = App()

  # Add json file
  app.add("temp.json")

  app.query("What is the net worth of Elon Musk as of October 2023?")
  # As of October 2023, Elon Musk's net worth is $255.2 billion.
  ```

  ```json temp.json theme={null}
  {
      "question": "What is your net worth, Elon Musk?",
      "answer": "As of October 2023, Elon Musk's net worth is $255.2 billion, making him one of the wealthiest individuals in the world."
  }
  ```
</CodeGroup>