diff --git a/__init__.py b/__init__.py
index 675ca86..cb89df9 100644
--- a/__init__.py
+++ b/__init__.py
@@ -1,4 +1,4 @@
-from .milvus_client import MilvusClientls
+from .milvus_client import MilvusClient
 
 
 def milvus_client(*args, **kwargs):
diff --git a/milvus_client.py b/milvus_client.py
index 2ff8056..33d5792 100644
--- a/milvus_client.py
+++ b/milvus_client.py
@@ -3,7 +3,7 @@ from towhee.operator import PyOperator
 import uuid
 
 
-class Milvus(PyOperator):
+class MilvusClient(PyOperator):
     """
     Search for embedding vectors in Milvus. Note that the Milvus collection has data before searching,
 
@@ -69,22 +69,18 @@ class Milvus(PyOperator):
             else:
                 self.kwargs['param']['metric_type'] = 'L2'
 
-    def __call__(self, query: list):
+    def __call__(self, query: 'ndarray'):
         milvus_result = self._collection.search(
             data=[query],
             **self.kwargs
         )
 
         result = []
-        for re in milvus_result:
+        for hit in milvus_result[0]:
             row = []
-            for hit in re:
-                row.extend([hit.id, hit.score])
-                if 'output_fields' in self.kwargs:
-                    for k in self.kwargs['output_fields']:
-                        row.append(hit.entity._row_data[k])
-                result.append(row)
+            row.extend([hit.id, hit.score])
+            if 'output_fields' in self.kwargs:
+                for k in self.kwargs['output_fields']:
+                 row.append(hit.entity._row_data[k])
+            result.append(row)
         return result
-
-    def __del__(self):
-        connections.disconnect(self._connect_name)