>>> index.query(vector=search_embedding, top_k=3)
                
{'matches': [{'id': 'vector7', 'score': 27.7402039, 'values': []},
             {'id': 'vector4', 'score': 60.1513977, 'values': []},
             {'id': 'vector5', 'score': 62.3066101, 'values': []}],
 'namespace': '',
 'usage': {'read_units': 5}}