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

# Embedding

<CardGroup>
  <Card title="View source on Github" href="https://github.com/Arize-ai/client_python/blob/576b5e62ac11124dd27201bc3db7587c46d9a371/arize/utils/types.py#L70" icon="github" horizontal />
</CardGroup>

Arize class to map up to 3 columns (`vector`, `data`, and `link_to_data`) to a single embedding feature.

```python theme={null}
class Embedding(
    vector: List[float]
    data: Optional[Union[str, List[str]]]
    link_to_data: Optional[str]
)
```

| Parameters     | Data Type         | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
| -------------- | ----------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `vector`       | List\[float]      | (Required) Vector of a given embedding feature. The contents of this column must be `List[float]` or `nd.array[float]`                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
| `data`         | str or List\[str] | (Optional) Used for Natural Language Processing model type. Data of a given embedding feature, typically the raw text associated with the embedding vector.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
| `link_to_data` | str               | (Optional) Used for Computer Vision model type. Link to data of a given embedding feature, typically a link to the data file (image, audio, ...) associated with the embedding vector. Host data in a cloud storage provider ([GCS](/ax/machine-learning/machine-learning/integrations-ml/gcs-example), [AWS](/ax/machine-learning/machine-learning/integrations-ml/aws-s3-example), [Azure](/ax/machine-learning/machine-learning/integrations-ml/azure-example)), local server, or public URL. Navigate [here](/ax/machine-learning/machine-learning/integrations-ml/aws-s3-example/aws-s3-example) to view private AWS S3 image links. Example: "[https://link-to-my-image.png](https://link-to-my-image.png)" \*\*NOTE: \*\*Currently only supports links to image files. |

### Code Example

```python theme={null}
from arize.utils.types import ModelTypes, Environments, Embedding

# Example NLP embedding features
embedding_features = {
        "nlp_embedding": Embedding(
            vector=pd.Series([4.0, 5.0, 6.0, 7.0]),
            data="This is a test sentence",
        ),
}

# Example CV embedding features
embedding_features = {
        "image_embedding": Embedding(
            vector=np.array([1.0, 2, 3]),
            link_to_data="https://link-to-my-image.png",
        ),
}
```