# google.generativeai.embed_content

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  <a target="_blank" href="https://github.com/google/generative-ai-python/blob/master/google/generativeai/embedding.py#L124-L219">
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Calls the API to create embeddings for content passed in.


<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link">
<code>google.generativeai.embed_content(
    model: model_types.BaseModelNameOptions,
    content: (content_types.ContentType | Iterable[content_types.ContentType]),
    task_type: (EmbeddingTaskTypeOptions | None) = None,
    title: (str | None) = None,
    output_dimensionality: (int | None) = None,
    client: glm.GenerativeServiceClient = None,
    request_options: (helper_types.RequestOptionsType | None) = None
) -> (text_types.EmbeddingDict | text_types.BatchEmbeddingDict)
</code></pre>



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<tr><th colspan="2"><h2 class="add-link">Args</h2></th></tr>

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`model`<a id="model"></a>

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    Which [model](https://ai.google.dev/models/gemini#embedding) to
call, as a string or a <a href="../../google/generativeai/types/Model.md"><code>types.Model</code></a>.

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`content`<a id="content"></a>

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    Content to embed.

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`task_type`<a id="task_type"></a>

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    Optional task type for which the embeddings will be used. Can only
be set for `models/embedding-001`.

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`title`<a id="title"></a>

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    An optional title for the text. Only applicable when task_type is
`RETRIEVAL_DOCUMENT`.

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`output_dimensionality`<a id="output_dimensionality"></a>

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    Optional reduced dimensionality for the output embeddings. If set,
excessive values from the output embeddings will be truncated from
the end.

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`request_options`<a id="request_options"></a>

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    Options for the request.

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<tr><th colspan="2"><h2 class="add-link">Return</h2></th></tr>
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Dictionary containing the embedding (list of float values) for the
input content.

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