azure/functions/decorators/function_app.py [3428:3460]:
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                         max_chunk_length: Optional[int] = 8 * 1024,
                         max_overlap: Optional[int] = 128,
                         data_type: Optional[
                             Union[DataType, str]] = None,
                         **kwargs) \
            -> Callable[..., Any]:
        """
        The embeddings input decorator creates embeddings which will be used to
        measure the relatedness of text strings.

        Ref: https://platform.openai.com/docs/guides/embeddings

        :param arg_name: The name of binding parameter in the function code.
        :param input: The input source containing the data to generate
        embeddings for.
        :param input_type: The type of the input.
        :param model: The ID of the model to use.
        :param max_chunk_length: The maximum number of characters to chunk the
        input into. Default value: 8 * 1024
        :param max_overlap: The maximum number of characters to overlap
        between chunks. Default value: 128
        :param data_type: Defines how Functions runtime should treat the
        parameter value
        :param kwargs: Keyword arguments for specifying additional binding
        fields to include in the binding json

        :return: Decorator function.
        """

        @self._configure_function_builder
        def wrap(fb):
            def decorator():
                fb.add_binding(
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azure/functions/decorators/function_app.py [3552:3590]:
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                                max_chunk_length: Optional[int] = 8 * 1024,
                                max_overlap: Optional[int] = 128,
                                data_type: Optional[
                                    Union[DataType, str]] = None,
                                **kwargs) \
            -> Callable[..., Any]:
        """
        Supported list of embeddings store is extensible, and more can be
        added by authoring a specially crafted NuGet package. Visit the
        currently supported vector specific folder for specific usage
        information:

        - Azure AI Search
        - Azure Data Explorer
        - Azure Cosmos DB using MongoDB

        :param arg_name: The name of binding parameter in the function code.
        :param input: The input to generate embeddings for.
        :param input_type: The type of the input.
        :param connection_name: The name of an app setting or environment
        variable which contains a connection string value
        :param collection: The collection or table to search.
        :param model: The ID of the model to use.
        :param max_chunk_length: The maximum number of characters to chunk the
        input into.
        :param max_overlap: The maximum number of characters to overlap between
        chunks.
        :param data_type: Optional. Defines how Functions runtime should treat
        the parameter value. Default value: None
        :param kwargs: Keyword arguments for specifying additional binding
        fields to include in the binding json

        :return: Decorator function.
        """

        @self._configure_function_builder
        def wrap(fb):
            def decorator():
                fb.add_binding(
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