> ## 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.

# EmbeddingColumnNames

<img className="inline m-0" src="https://storage.googleapis.com/arize-phoenix-assets/assets/images/arize-docs-images/9e9834e4-image.jpeg" />[View source on Github](https://github.com/Arize-ai/client_python/blob/576b5e62ac11124dd27201bc3db7587c46d9a371/arize/utils/types.py#L64)

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

```python theme={null}
class EmbeddingColumnNames(
    vector_column_name: str
    data_column_name: Optional[str] = None
    link_to_data_column_name: Optional[str] = None
)
```

| Parameters                 | Data Type | Expected Type In Column                                               | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
| -------------------------- | --------- | --------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `vector_column_name`       | str       | The contents of this column must be List\[float] or nd.array\[float]. | (Required)Column name for the vector of a given embedding feature.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| `data_column_name`         | str       | The contents of this column must be str or List\[str].                | (Optional)Used for Natural Language Processing model type - Column name for the data of a given embedding feature, typically the raw text associated with the embedding vector.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| `link_to_data_column_name` | str       | The contents of this column must be str.                              | (Optional) Used for Computer Vision model type -Column name for the 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 URL: " [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}
# Declare embedding feature columns
embedding_feature_column_names = {
    # Dictionary keys will be the name of the embedding feature in the app
    "embedding_display_name": EmbeddingColumnNames(
        vector_column_name="vector", # column containing embedding vector (required)
        data_column_name="text", # column containing raw text (optional NLP)
        link_to_data_column_name="image_link" # column containing image URL links (optional CV)
    )
}
```