def _embedding_vector_column(self) -> dict:
        """
        Return the embedding vector column configs as a dictionary.
        Empty if the index is not a self-managed embedding index.
        """
        index_spec = (
            self._delta_sync_index_spec
            if self._is_delta_sync_index()
            else self._direct_access_index_spec
        )
        return next(iter(index_spec.get("embedding_vector_columns") or []), {})

        Return the embedding vector column configs as a dictionary.
        Empty if the index is not a self-managed embedding index.
        
llama-index-integrations/vector_stores/llama-index-vector-stores-databricks/llama_index/vector_stores/databricks/base.py