mem0/docs/data-sources/json.mdx

---
title: '📃 JSON'
---

To add any json file, use the data_type as `json`. Headers are included for each line, so if you have an `age` column, `18` will be added as `age: 18`. Eg:

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"}'))
```

If you would like to add other data structures (e.x. list, dict etc.), do:
```python
    import json
    a = {"foo": "bar"}
    valid_json_string_data = json.dumps(a, indent=0)

    b = [{"foo": "bar"}]
    valid_json_string_data = json.dumps(b, indent=0)
```
Example:
```python
import os

from embedchain.apps.app import App

os.environ["OPENAI_API_KEY"] = "openai_api_key"

app = App()

response = app.query("What is the net worth of Elon Musk as of October 2023?")

print(response)
"I'm sorry, but I don't have access to real-time information or future predictions. Therefore, I don't know the net worth of Elon Musk as of October 2023."

source_id = app.add("temp.json")

response = app.query("What is the net worth of Elon Musk as of October 2023?")

print(response)
"As of October 2023, Elon Musk's net worth is $255.2 billion."
```
temp.json
```json
{
    "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."
}
```