/**
 * This file was auto-generated by Fern from our API Definition.
 */
export interface Encoder {
    /** The Encoder ID. */
    id?: string;
    /** The encoder name, `boomerang-2023-q3`. */
    name?: string;
    /**
     * When this encoder is used to create an embedding, it shows the count of dimensions for the output embedding.
     * A high dimensionality will consume more storage space, but it allows for an increase in the quality of
     * the embedding.
     */
    outputDimensions?: number;
    /** The encoder description. */
    description?: string;
    /** Indicates whether the default encoder is used when creating a corpus. */
    default?: boolean;
    /** Indicates whether the encoder is enabled. */
    enabled?: boolean;
}