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// model: The model to use. Defaults to `None`, which uses the server-defined default.
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// output_encoding: Format in which the embeddings are encoded. Defaults to `None`, so the embeddings are represented as a list of floating-point numbers.
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// vectorize_collection_name: Whether to vectorize the collection name. Defaults to `True`.
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// base_url: The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default.
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// image_fields: The image fields to use in vectorization.
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// text_fields: The text fields to use in vectorization.
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/** The configuration for the `multi2vec-nvidia` vectorizer. */
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exporttypeMulti2VecNvidiaConfigCreate={
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/** The model to use. Defaults to `None`, which uses the server-defined default. */
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model?: string;
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/** The base URL where API requests should go. */
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baseURL?: string;
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/** Whether to apply truncation. */
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truncation?: boolean;
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/** Format in which the embeddings are encoded. Defaults to `None`, so the embeddings are represented as a list of floating-point numbers. */
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outputEncoding?: string;
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/** The image fields to use in vectorization. Can be string of `Multi2VecField` type. If string, weight 0 will be assumed. */
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imageFields?: string[]|Multi2VecField[];
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/** The text fields to use in vectorization. Can be string of `Multi2VecField` type. If string, weight 0 will be assumed. */
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textFields?: string[]|Multi2VecField[];
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};
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/** The configuration for the `multi2vec-clip` vectorizer. */
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exporttypeMulti2VecClipConfigCreate={
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/** The image fields to use in vectorization. Can be string of `Multi2VecField` type. If string, weight 0 will be assumed. */
@@ -261,6 +292,8 @@ export type Text2MultiVecJinaAIConfigCreate = Text2MultiVecJinaAIConfig;
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