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Return docs selected using the maximal marginal relevance.
amax_marginal_relevance_search_by_vector( self, embedding: List[float], k: int = 4, fetch_k: int = 20, lambda_mult: float = 0.5, pre_filter: Optional[Dict[str, Any]] = None, post_filter_pipeline: Optional[List[Dict]] = None, oversampling_factor: int = 10, **kwargs: Any = {} ) -> List[Document]