Raises:
            MilvusException: Failure to add texts
        Returns:
            List[str]: The resulting keys for each inserted element.
        """
        from pymilvus import Collection, MilvusException
        texts = list(texts)
        try:
            embeddings = self.embedding_func.embed_documents(texts)
        except NotImplementedError:
            embeddings = [self.embedding_func.embed_query(x) for x in texts]
        if len(embeddings) == 0:
            logger.debug("Nothing to insert, skipping.")
            return []
        # If the collection hasn't been initialized yet, perform all steps to do so
        if not isinstance(self.col, Collection):
            self._init(embeddings, metadatas)
        # Dict to hold all insert columns
        insert_dict: dict[str, list] = {
            self._text_field: texts,
            self._vector_field: embeddings,
        }
        # Collect the metadata into the insert dict.
        if metadatas is not None:
            for d in metadatas:
                for key, value in d.items():
                    if key in self.fields:
                        insert_dict.setdefault(key, []).append(value)
        # Total insert count
        vectors: list = insert_dict[self._vector_field]
        total_count = len(vectors)
        pks: list[str] = []
        assert isinstance(self.col, Collection)
        for i in range(0, total_count, batch_size):
            # Grab end index
            end = min(i + batch_size, total_count)
            # Convert dict to list of lists batch for insertion
            insert_list = [insert_dict[x][i:end] for x in self.fields]
            # Insert into the collection.
            try:
                res: Collection