diff --git a/redisvl/query/aggregate.py b/redisvl/query/aggregate.py
index 1f1da2ac..01ecedd2 100644
--- a/redisvl/query/aggregate.py
+++ b/redisvl/query/aggregate.py
@@ -329,7 +329,11 @@ def __init__(
 
         # calculate the respective vector similarities
         for i in range(len(self._vectors)):
-            self.apply(**{f"score_{i}": f"(2 - @distance_{i})/2"})
+            self.apply(
+                **{
+                    f"score_{i}": f"case(exists(@distance_{i}), (2 - @distance_{i})/2, 0)"
+                }
+            )
 
         # construct the scoring string based on the vector similarity scores and weights
         combined_scores = []
diff --git a/tests/unit/test_aggregation_types.py b/tests/unit/test_aggregation_types.py
index 503674f9..ea271dcb 100644
--- a/tests/unit/test_aggregation_types.py
+++ b/tests/unit/test_aggregation_types.py
@@ -367,7 +367,7 @@ def test_multi_vector_query_string():
 
     assert (
         str(multi_vector_query)
-        == f"@{field_1}:[VECTOR_RANGE 2.0 $vector_0]=>{{$YIELD_DISTANCE_AS: distance_0}} | @{field_2}:[VECTOR_RANGE 2.0 $vector_1]=>{{$YIELD_DISTANCE_AS: distance_1}} SCORER TFIDF DIALECT 2 APPLY (2 - @distance_0)/2 AS score_0 APPLY (2 - @distance_1)/2 AS score_1 APPLY @score_0 * {weight_1} + @score_1 * {weight_2} AS combined_score SORTBY 2 @combined_score DESC MAX 10"
+        == f"@{field_1}:[VECTOR_RANGE 2.0 $vector_0]=>{{$YIELD_DISTANCE_AS: distance_0}} | @{field_2}:[VECTOR_RANGE 2.0 $vector_1]=>{{$YIELD_DISTANCE_AS: distance_1}} SCORER TFIDF DIALECT 2 APPLY case(exists(@distance_0), (2 - @distance_0)/2, 0) AS score_0 APPLY case(exists(@distance_1), (2 - @distance_1)/2, 0) AS score_1 APPLY @score_0 * {weight_1} + @score_1 * {weight_2} AS combined_score SORTBY 2 @combined_score DESC MAX 10"
     )