virtual tensor fix for managed search

deeplake/core/vectorstore/vector_search/indra/search_algorithm.py

@@ -68,14 +68,12 @@ def run(
             return {"data": return_data, "tql": tql_query}
         return return_data
 
-    @staticmethod
+    @abstractmethod
     def _collect_return_data(
-        view: Union[DeepLakeQueryDataset, DeepLakeDataset],
+        self,
+        view: DeepLakeDataset,
     ):
-        return_data = {}
-        for tensor in view.tensors:
-            return_data[tensor] = utils.parse_tensor_return(view[tensor])
-        return return_data
+        pass
 
     @staticmethod
     def _create_tql_string(
@@ -138,14 +136,30 @@ def _get_indra_dataset(self):
             indra_dataset = dataset_to_libdeeplake(self.deeplake_dataset)
         return indra_dataset
 
+    def _collect_return_data(
+        self,
+        view: DeepLakeDataset,
+    ):
+        return_data = {}
+        for tensor in view.tensors:
+            return_data[tensor] = utils.parse_tensor_return(view[tensor])
+        return return_data
+
 
 class SearchManaged(SearchBasic):
     def _get_view(self, tql_query, runtime: Optional[Dict] = None):
-        view, _ = self.deeplake_dataset.query(
+        view, data = self.deeplake_dataset.query(
             tql_query, runtime=runtime, return_data=True
         )
+        self.data = data
         return view
 
+    def _collect_return_data(
+        self,
+        view: DeepLakeDataset,
+    ):
+        return self.data
+
 
 def search(
     query_embedding: np.ndarray,