from pymilvus import Collection, MilvusException
        if isinstance(self.col, Collection) and self._get_index() is None:
            try:
                # If no index params, use a default HNSW based one
                if self.index_params is None:
                    self.index_params = {
                        "metric_type": "L2",
                        "index_type": "HNSW",
                        "params": {"M": 8, "efConstruction": 64},
                    }
                try:
                    self.col.create_index(
                        self._vector_field,
                        index_params=self.index_params,
                        using=self.alias,
                    )
                # If default did not work, most likely on Zilliz Cloud
                except MilvusException:
                    # Use AUTOINDEX based index
                    self.index_params = {
                        "metric_type": "L2",
                        "index_type": "AUTOINDEX",
                        "params": {},
                    }
                    self.col.create_index(
                        self._vector_field,
                        index_params=self.index_params,
                        using=self.alias,
                    )
                logger.debug(
                    "Successfully created an index on collection: %s",
                    self.collection_name,
                )
            except MilvusException as e:
                logger.error(
                    "Failed to create an index on collection: %s", self.collection_name
                )
                raise e
    def _create_search_params(self) -> None:
        """Generate search params based on the current index type"""
        from pymilvus import Collection
        if isinstance(self.col, Collection) and self.search_params is None:
            index = self._get_index()
            if index is not None:
                index_type: str = index["index_param"]["index_type"]