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GeminiEmbedding

class GeminiEmbedding:
Provides text embedding functionalities using Google’s Gemini models. Parameters:
  • model_type (EmbeddingModelType, optional): The model type to be used for text embeddings. (default: :obj:GEMINI_EMBEDDING_EXP)
  • api_key (str, optional): The API key for authenticating with the Gemini service. (default: :obj:None)
  • dimensions (int, optional): The text embedding output dimensions. (default: :obj:None)
  • task_type (GeminiEmbeddingTaskType, optional): The task type for which to optimize the embeddings. (default: :obj:None)

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init

def __init__(
    self,
    model_type: EmbeddingModelType = EmbeddingModelType.GEMINI_EMBEDDING_EXP,
    api_key: Optional[str] = None,
    dimensions: Optional[int] = None,
    task_type: Optional[GeminiEmbeddingTaskType] = None
):

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embed_list

def embed_list(self, objs: list[str], **kwargs: Any):
Generates embeddings for the given texts. Parameters:
  • objs (list[str]): The texts for which to generate the embeddings. **kwargs (Any): Extra kwargs passed to the embedding API.
Returns: list[list[float]]: A list that represents the generated embedding as a list of floating-point numbers.

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get_output_dim

def get_output_dim(self):
Returns: int: The dimensionality of the embedding for the current model.