embedding (Embeddings, optional): Function to convert
                either documents or query. Optional.
            embedding_function (Embeddings, optional): Function to convert
                either documents or query. Optional. Deprecated: keeping this
                parameter for backwards compatibility.
            read_only (bool): Open dataset in read-only mode. Default is False.
            ingestion_batch_size (int): During data ingestion, data is divided
                into batches. Batch size is the size of each batch.
                Default is 1000.
            num_workers (int): Number of workers to use during data ingestion.
                Default is 0.
            verbose (bool): Print dataset summary after each operation.
                Default is True.
            exec_option (str, optional): DeepLakeVectorStore supports 3 ways to perform
                searching - "python", "compute_engine", "tensor_db" and auto.
                Default is None.
                - ``auto``- Selects the best execution method based on the storage
                    location of the Vector Store. It is the default option.
                - ``python`` - Pure-python implementation that runs on the client.
                    WARNING: using this with big datasets can lead to memory
                    issues. Data can be stored anywhere.
                - ``compute_engine`` - C++ implementation of the Deep Lake Compute
                    Engine that runs on the client. Can be used for any data stored in
                    or connected to Deep Lake. Not for in-memory or local datasets.
                - ``tensor_db`` - Hosted Managed Tensor Database that is
                    responsible for storage and query execution. Only for data stored in
                    the Deep Lake Managed Database. Use runtime = {"db_engine": True}
                    during dataset creation.
            runtime (Dict, optional): Parameters for creating the Vector Store in
                Deep Lake's Managed Tensor Database. Not applicable when loading an