some timex queries are 10x slower

for idx, x in enumerate(docs):

                doc = {

                    "id": idx,

                    "size":6,

                    "brand":"nike",

                    "vec": x.tolist()

                  }

CREATE INDEX ix1 ON b1(size, brand, vec VECTOR, id) WITH {"dimension":128, "train_list":10000, "description": "IVF,PQ32x8", "similarity": "L2_SQUARED"};

WITH qvec AS ([1.0, 3.0, 11.0, 110.0, 62.0, 22.0, 4.0, 0.0, 43.0, 21.0, 22.0, 18.0, 6.0, 28.0, 64.0, 9.0, 11.0, 1.0, 0.0, 0.0, 1.0, 40.0, 101.0, 21.0, 20.0, 2.0, 4.0, 2.0, 2.0, 9.0, 18.0, 35.0, 1.0, 1.0, 7.0, 25.0, 108.0, 116.0, 63.0, 2.0, 0.0, 0.0, 11.0, 74.0, 40.0, 101.0, 116.0, 3.0, 33.0, 1.0, 1.0, 11.0, 14.0, 18.0, 116.0, 116.0, 68.0, 12.0, 5.0, 4.0, 2.0, 2.0, 9.0, 102.0, 17.0, 3.0, 10.0, 18.0, 8.0, 15.0, 67.0, 63.0, 15.0, 0.0, 14.0, 116.0, 80.0, 0.0, 2.0, 22.0, 96.0, 37.0, 28.0, 88.0, 43.0, 1.0, 4.0, 18.0, 116.0, 51.0, 5.0, 11.0, 32.0, 14.0, 8.0, 23.0, 44.0, 17.0, 12.0, 9.0, 0.0, 0.0, 19.0, 37.0, 85.0, 18.0, 16.0, 104.0, 22.0, 6.0, 2.0, 26.0, 12.0, 58.0, 67.0, 82.0, 25.0, 12.0, 2.0, 2.0, 25.0, 18.0, 8.0, 2.0, 19.0, 42.0, 48.0, 11.0]) SELECT RAW id FROM b1 WHERE size = 6 AND brand = "nike" ORDER BY ANN(vec, qvec,  "L2_SQUARED",3) LIMIT 100;