langchain/vectorstores/supabase.py/SupabaseVectorStore/similarity_search_by_vector
class SupabaseVectorStore:    def similarity_search_by_vector(
        self, embedding: List[float], k: int = 4, **kwargs: Any
    ) -> List[Document]:
        result = self.similarity_search_by_vector_with_relevance_scores(embedding, k)

        documents = [doc for doc, _ in result]

        return documents