generative-ai-python

google.generativeai.protos.EmbedContentRequest

Request containing the Content for the model to embed.

`model` `str` Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the ``ListModels`` method. Format: ``models/{model}``
`content` `google.ai.generativelanguage.Content` Required. The content to embed. Only the ``parts.text`` fields will be counted.
`task_type` `google.ai.generativelanguage.TaskType` Optional. Optional task type for which the embeddings will be used. Can only be set for ``models/embedding-001``.
`title` `str` Optional. An optional title for the text. Only applicable when TaskType is ``RETRIEVAL_DOCUMENT``. Note: Specifying a ``title`` for ``RETRIEVAL_DOCUMENT`` provides better quality embeddings for retrieval.
`output_dimensionality` `int` Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (``models/embedding-001``).