Method encode

fast_graphrag/_llm/_base.py:134–144

Get the embedding representation of the input text. Args: texts (str): The input text to embed. model (str): The name of the model to use. Returns: list[float]: The embedding vector as a list of floats.

(self, texts: list[str], model: Optional[str] = None)

  embedding_async_client: Any = field(init=False, default=None)

  async def encode(self, texts: list[str], model: Optional[str] = None) -> np.ndarray[Any, np.dtype[np.float32]]:
    """Get the embedding representation of the input text.

    Args:
        texts (str): The input text to embed.
        model (str): The name of the model to use.

    Returns:
        list[float]: The embedding vector as a list of floats.
    """
    raise NotImplementedError


class NoopAsyncContextManager: