diff --git a/docarray/index/abstract.py b/docarray/index/abstract.py
index 3c423137259..774ed71b7c8 100644
--- a/docarray/index/abstract.py
+++ b/docarray/index/abstract.py
@@ -573,7 +573,8 @@ def text_search_batched(
             docs = [self._dict_list_to_docarray(docs) for docs in da_list]
             return FindResultBatched(documents=docs, scores=scores)
 
-        return FindResultBatched(documents=da_list, scores=scores)
+        da_list_ = cast(List[DocList], da_list)
+        return FindResultBatched(documents=da_list_, scores=scores)
 
     ##########################################################
     # Helper methods                                         #
diff --git a/docarray/index/backends/hnswlib.py b/docarray/index/backends/hnswlib.py
index d0e11e7e959..2807ba9b06b 100644
--- a/docarray/index/backends/hnswlib.py
+++ b/docarray/index/backends/hnswlib.py
@@ -29,6 +29,7 @@
     _raise_not_supported,
 )
 from docarray.proto import DocProto
+from docarray.typing import NdArray
 from docarray.typing.tensor.abstract_tensor import AbstractTensor
 from docarray.utils._internal.misc import import_library, is_np_int
 from docarray.utils.filter import filter_docs
@@ -262,7 +263,9 @@ def _find(
         docs, scores = self._find_batched(
             queries=query_batched, limit=limit, search_field=search_field
         )
-        return _FindResult(documents=docs[0], scores=scores[0])
+        return _FindResult(
+            documents=docs[0], scores=NdArray._docarray_from_native(scores[0])
+        )
 
     def _filter(
         self,