def load_db()

in skills/text_to_sql/evaluation/vectordb.py [0:0]


    def load_db(self):
        if os.path.exists(self.db_path):
            with open(self.db_path, "rb") as file:
                data = pickle.load(file)
            self.embeddings, self.metadata, self.query_cache = data['embeddings'], data['metadata'], json.loads(data['query_cache'])
        else:
            self.embeddings, self.metadata, self.query_cache = [], [], {}