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

# Selector

> Metadata selector

When using `Data Connectors` and `Loaders` you can provide a `Selector` to extract content and metadata. Metadata available is configured in each `Data Connector` and `Loader` and avialable by querying the `availableMetadata` and `availableContent` properties. The selected metadata within the `Selector` will be appended to the `NeumDocument` and `NeumVector` accordingly and stored as part of the vector in the vector database.

As part of the retrieval process, you can use the selected metadata as filters. The `Pipeline` objects provides a `available_metadata` property to query what metadata was selected as part of a pipeline configuration.

## Usage

```python Selector
from neumai.Shared.Selector  import Selector
selector = Selector(
    to_embed = ["content"...],
    to_metadata = ["property"...]
)
```