diff --git a/test/cqlpy/test_vector_search_with_vector_store_mock.py b/test/cqlpy/test_vector_search_with_vector_store_mock.py
index 880f08cf81..ec85e744c0 100644
--- a/test/cqlpy/test_vector_search_with_vector_store_mock.py
+++ b/test/cqlpy/test_vector_search_with_vector_store_mock.py
@@ -166,3 +166,21 @@ def test_vector_search_cql_error_contains_http_error_description(cql, test_keysp
         with pytest.raises(InvalidRequest, match="404.*index does not exist"):
             cql.execute(
                 f"SELECT * FROM {table} ORDER BY embedding ANN OF [0.1, 0.2, 0.3] LIMIT 5")
+
+
+# Create a vector index with an additional filtering column.
+# Because the local secondary index logic was used to determine the index target column,
+# the implementation wrongly selects last column as the target(vectors) column, leading to
+# an exception on the SELECT query:
+#     ANN ordering by vector requires the column to be indexed using 'vector_index'.
+# Reproduces SCYLLADB-635.
+def test_vector_search_vector_index_with_additional_filtering_column(cql, test_keyspace, vector_store_mock, skip_without_tablets):
+
+    schema = "pk1 tinyint, pk2 tinyint, ck1 tinyint, ck2 tinyint, embedding vector<float, 3>, PRIMARY KEY ((pk1, pk2), ck1, ck2)"
+
+    with new_test_table(cql, test_keyspace, schema) as table:
+        cql.execute(
+            f"CREATE CUSTOM INDEX ON {table}(embedding, ck1) USING 'vector_index'")
+
+        cql.execute(
+            f"SELECT * FROM {table} ORDER BY embedding ANN OF [0.1, 0.2, 0.3] LIMIT 5")
diff --git a/test/vector_search/vector_store_client_test.cc b/test/vector_search/vector_store_client_test.cc
index 2ba97fb743..6e7fd6f5e0 100644
--- a/test/vector_search/vector_store_client_test.cc
+++ b/test/vector_search/vector_store_client_test.cc
@@ -1206,21 +1206,6 @@ SEASTAR_TEST_CASE(vector_store_client_abort_due_to_query_timeout) {
             }));
 }
 
-// Create a vector index with an additional filtering column.
-// Because the local secondary index logic was used to determine the index target column,
-// the implementation wrongly selects last column as the target(vectors) column, leading to an exception
-// on the SELECT query:
-//     ANN ordering by vector requires the column to be indexed using 'vector_index'.
-// Reproduces SCYLLADB-635.
-SEASTAR_TEST_CASE(vector_store_client_vector_index_with_additional_filtering_column) {
-    co_await do_with_vector_store_mock([](cql_test_env& env, vs_mock_server&) -> future<> {
-        // Create a vector index on the embedding column, including ck1 for filtered ANN search support.
-        co_await env.execute_cql("CREATE CUSTOM INDEX idx ON ks.test (embedding, ck1) USING 'vector_index'");
-
-        BOOST_CHECK_NO_THROW(co_await env.execute_cql("SELECT * FROM ks.test ORDER BY embedding ANN OF [0.1, 0.2, 0.3] LIMIT 5;"));
-    });
-}
-
 SEASTAR_TEST_CASE(vector_store_client_local_vector_index) {
     co_await do_with_vector_store_mock([](cql_test_env& env, vs_mock_server&) -> future<> {
         // Create a local vector index on the 'embedding' column.