embed

Parameters

Name	Type	Description
`texts`*	`list[str]`	The list of strings to embed.
`embeddings_task_type`	`EmbeddingTaskTypes \| None`	Default:`None` Optional embeddings task type, one of the following: `RETRIEVAL_QUERY` - Text is a query in a search/retrieval setting `RETRIEVAL_DOCUMENT` - Text is a document in a search/retrieval setting `SEMANTIC_SIMILARITY` - Embeddings will be used for Semantic Textual Similarity (STS). `CLASSIFICATION` - Embeddings will be used for classification. `CLUSTERING` - Embeddings will be used for clustering. `CODE_RETRIEVAL_QUERY` - Embeddings will be used for code retrieval for Java and Python. The following are only supported on preview models: `QUESTION_ANSWERING`, `FACT_VERIFICATION`.
`dimensions`	`int \| None`	Default:`None`
`title`	`str \| None`	Default:`None`