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

# Overview

> Manage documents in your dataset

Rows added to embedded datasets will automatically be embedded. The rows body should contain a list of objects, each with a data and optional metadata . The data object should contain a field text which will be used for the row's embedding. Each key in the data object will be added as a column in the dataset. Each key in the metadata object will be added as a metadata column in the dataset.

**Only the "text" column will be embedded**

For example this request body

```json theme={null}
{
    "rows": [
        {
            "data": {
                "text": "Baseplate",
                "city": "San Francisco"
            },
            "metadata": {
                "state": "California"
            }
        },
        {
            "data": {
                "text": "Bloomberg",
                "city": "New York City",
                "country": "U.S"
            },
            "metadata": {
                "state": "New York"
            }
        }
    ]
}
```

| text      | city          | country | metadata                 |
| --------- | ------------- | ------- | ------------------------ |
| Baseplate | San Francisco |         | \{"state": "California"} |
| Bloomberg | New York City | U.S.    | \{"state": "New York"}   |