diff --git a/distance.go b/distance.go
index 4ab7cad..86024dc 100644
--- a/distance.go
+++ b/distance.go
@@ -1,7 +1,6 @@
 package hnsw
 
 import (
-	"math"
 	"reflect"
 
 	"github.com/viterin/vek/vek32"
@@ -17,13 +16,7 @@ func CosineDistance(a, b []float32) float32 {
 
 // EuclideanDistance computes the Euclidean distance between two vectors.
 func EuclideanDistance(a, b []float32) float32 {
-	// TODO: can we speedup with vek?
-	var sum float32 = 0
-	for i := range a {
-		diff := a[i] - b[i]
-		sum += diff * diff
-	}
-	return float32(math.Sqrt(float64(sum)))
+	return vek32.Distance(a, b)
 }
 
 var distanceFuncs = map[string]DistanceFunc{
diff --git a/distance_test.go b/distance_test.go
index e411ee5..11c2c94 100644
--- a/distance_test.go
+++ b/distance_test.go
@@ -30,6 +30,15 @@ func TestCosineSimilarity(t *testing.T) {
 	require.InDelta(t, 0, CosineDistance(a, b), 0.000001)
 }
 
+func BenchmarkEuclideanDistance(b *testing.B) {
+	v1 := randFloats(1536)
+	v2 := randFloats(1536)
+	b.ResetTimer()
+	for i := 0; i < b.N; i++ {
+		EuclideanDistance(v1, v2)
+	}
+}
+
 func BenchmarkCosineSimilarity(b *testing.B) {
 	v1 := randFloats(1536)
 	v2 := randFloats(1536)