Delete vector.py

vector.py

@@ -1,11 +0,0 @@
-import numpy as np
-import re
-
-DIM = 512
-
-def embed(text: str) -> np.ndarray:
-    v = np.zeros(DIM, dtype=np.float32)
-    for w in re.findall(r"[a-zA-Z]{2,}", text.lower()):
-        v[hash(w) % DIM] += 1.0
-    n = np.linalg.norm(v)
-    return v / n if n > 0 else v