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    Type Alias Text2VecTransformersConfig

    The configuration for text vectorization using the Transformers module.

    See the documentation for detailed usage.

    type Text2VecTransformersConfig = {
        dimensions?: number;
        inferenceUrl?: string;
        passageInferenceUrl?: string;
        poolingStrategy?: "masked_mean" | "cls" | string;
        queryInferenceUrl?: string;
        vectorizeCollectionName?: boolean;
    }
    Index

    Properties

    dimensions? inferenceUrl? passageInferenceUrl? poolingStrategy? queryInferenceUrl? vectorizeCollectionName?

    Properties

    dimensions?: number

    The number of dimensions for the generated embeddings.

    inferenceUrl?: string

    The inference url to use where API requests should go. You can use either this OR (passage_inference_url & query_inference_url).

    passageInferenceUrl?: string

    The inference url to use where passage API requests should go. You can use either (this AND query_inference_url) OR inference_url.

    poolingStrategy?: "masked_mean" | "cls" | string

    The pooling strategy to use.

    queryInferenceUrl?: string

    The inference url to use where query API requests should go. You can use either (this AND passage_inference_url) OR inference_url.

    vectorizeCollectionName?: boolean

    Whether to vectorize the collection name.

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