> For the complete documentation index, see [llms.txt](https://aizen-corp.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aizen-corp.gitbook.io/docs/model-building-commands/training-commands/save-embedding.md).

# save embedding

The `save embedding` command saves trained model embeddings and their vocabulary to a vector table. The saved weights may be used as pretrained embeddings while training a downstream model or may be defined as dataset features from the vector database source using functions such as top-k nearest.

## Syntax

{% code overflow="wrap" %}

```
save embedding <model name>,<run id>,<vector table name> 
```

{% endcode %}

## Parameters

| Parameter             | Description                                                                    |
| --------------------- | ------------------------------------------------------------------------------ |
| `<model name>`        | The name of the ML model                                                       |
| `<run id>`            | The specific training run identifier                                           |
| `<vector table name>` | The vector database table name in which to store the embeddings and vocabulary |

## Example

{% code overflow="wrap" %}

```
save embedding trip_fare_2_ml_model,1,faredata
```

{% endcode %}


---

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