ids: Optional[List[str]] = None,
        **kwargs: Any,
    ) -> VespaStore:
        vespa = cls(embedding_function=embedding, **kwargs)
        vespa.add_texts(texts=texts, metadatas=metadatas, ids=ids)
        return vespa
[docs]    def as_retriever(self, **kwargs: Any) -> VectorStoreRetriever:
        return super().as_retriever(**kwargs)