dlt.destinations.impl.lance.factory
lance Objects
class lance(Destination[LanceClientConfiguration, "LanceClient"])
__init__
def __init__(storage: LanceStorageConfiguration = None,
embeddings: LanceEmbeddingsConfiguration = None,
destination_name: str = None,
environment: str = None,
**kwargs: Any) -> None
Configure the Lance destination to use in a pipeline.
All arguments provided here supersede other configuration sources such as environment variables and dlt config files.
Arguments:
storageLanceStorageConfiguration - Configuration for storage where lance datasets are stored.embeddingsLanceEmbeddingsConfiguration, optional - Embeddings configuration including model provider, model, provider credentials, and vector field settings. If not provided, no vector column is added.destination_namestr, optional - Name of the destination.environmentstr, optional - Environment of the destination.**kwargsAny - Additional arguments forwarded to the destination config.