The most k similar documents and scores of the specified query. Args: embeddings: embedding vector of the query. k: The k most similar documents to the text query. min_score: the score of similar documents to the text query Returns: The k most similar documents to the specified text query. 0 is dissimilar, 1 is the most similar.
