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Return documents most similar to the given embedding vector.
Wraps similarity_search_by_vector_with_score but strips the scores.
similarity_search_by_vector_with_score
similarity_search_by_vector( self, embedding: List[float], k: int = 4, **kwargs: Any = {} ) -> List[Document]
