diff --git a/src/ragas/metrics/_answer_similarity.py b/src/ragas/metrics/_answer_similarity.py
index da952fc6b..1113d44a2 100644
--- a/src/ragas/metrics/_answer_similarity.py
+++ b/src/ragas/metrics/_answer_similarity.py
@@ -71,7 +71,12 @@ async def _ascore(
         else:
             embeddings_1 = np.array(await self.embeddings.embed_texts(ground_truth))
             embeddings_2 = np.array(await self.embeddings.embed_texts(answers))
-            similarity = embeddings_1 @ embeddings_2.T
+            # Normalization factors of the above embeddings
+            norms_1 = np.linalg.norm(embeddings_1, axis=1, keepdims=True)
+            norms_2 = np.linalg.norm(embeddings_2, axis=1, keepdims=True)
+            embeddings_1_normalized = embeddings_1 / norms_1
+            embeddings_2_normalized = embeddings_2 / norms_2
+            similarity = embeddings_1_normalized @ embeddings_2_normalized.T
             if similarity.size == 1:
                 scores = similarity.flatten()
             else: