raise ValueError("AwaDB client is None!!!")
        embedding: List[float] = []
        if self.using_table_name in self.table2embeddings:
            embedding = self.table2embeddings[self.using_table_name].embed_query(query)
        else:
            from awadb import AwaEmbedding
            embedding = AwaEmbedding().Embedding(query)
        if embedding.__len__() == 0:
            return []
        results = self.max_marginal_relevance_search_by_vector(
            embedding,
            k,
            fetch_k,
            lambda_mult=lambda_mult,
            text_in_page_content=text_in_page_content,
            meta_filter=meta_filter,
        )
        return results
[docs]    def max_marginal_relevance_search_by_vector(
        self,
        embedding: List[float],
        k: int = 4,
        fetch_k: int = 20,
        lambda_mult: float = 0.5,
        text_in_page_content: Optional[str] = None,
        meta_filter: Optional[dict] = None,
        **kwargs: Any,
    ) -> List[Document]:
        """Return docs selected using the maximal marginal relevance.
        Maximal marginal relevance optimizes for similarity to query AND diversity
        among selected documents.
        Args:
            embedding: Embedding to look up documents similar to.
            k: Number of Documents to return. Defaults to 4.
            fetch_k: Number of Documents to fetch to pass to MMR algorithm.
            lambda_mult: Number between 0 and 1 that determines the degree
                        of diversity among the results with 0 corresponding
                        to maximum diversity and 1 to minimum diversity.
                        Defaults to 0.5.