langchain/vectorstores/supabase.py/SupabaseVectorStore/similarity_search_with_relevance_scores
class SupabaseVectorStore:    def similarity_search_with_relevance_scores(
        self, query: str, k: int = 4, **kwargs: Any
    ) -> List[Tuple[Document, float]]:
        vectors = self._embedding.embed_documents([query])
        return self.similarity_search_by_vector_with_relevance_scores(vectors[0], k)