def create(
        self,
        metadata_fields: str,
        text_size: int,
    ) -> None:
        """
        Create the vector store on the backend database.

        Args:
            metadata_fields (str):  exrta metadata columns and types
        Returns:
            True if successful; False if not successful

        """
        podstore = self._pod + "." + self._store

        """
        v:text column is required.
        """
        q = "create store "
        q += podstore
        q += f" ({self._vector_index} vector({self._vector_dimension},"
        q += f" '{self._vector_type}'),"
        q += f"  v:text char({text_size}),"
        q += self._sanitize_input(metadata_fields) + ")"
        self.run(q)

        Create the vector store on the backend database.

        Args:
            metadata_fields (str):  exrta metadata columns and types
        Returns:
            True if successful; False if not successful

        
llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/llama_index/vector_stores/jaguar/base.py