первый коммит

app/modules/rag_session/retrieval/scoring.py

@@ -0,0 +1,12 @@
+import math
+
+
+def cosine_similarity(a: list[float], b: list[float]) -> float:
+    if not a or not b or len(a) != len(b):
+        return -1.0
+    dot = sum(x * y for x, y in zip(a, b))
+    norm_a = math.sqrt(sum(x * x for x in a))
+    norm_b = math.sqrt(sum(y * y for y in b))
+    if norm_a == 0 or norm_b == 0:
+        return -1.0
+    return dot / (norm_a * norm_b)