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

# 📊 CSV

You can load any csv file from your local file system or through a URL. Headers are included for each line, so if you have an `age` column, `18` will be added as `age: 18`.

## Usage

### Load from a local file

```python  theme={null}
from embedchain import App
app = App()
app.add('/path/to/file.csv', data_type='csv')
```

### Load from URL

```python  theme={null}
from embedchain import App
app = App()
app.add('https://people.sc.fsu.edu/~jburkardt/data/csv/airtravel.csv', data_type="csv")
```

<Note>
  There is a size limit allowed for csv file beyond which it can throw error. This limit is set by the LLMs. Please consider chunking large csv files into smaller csv files.
</Note>