diff --git a/pymilvus/orm/types.py b/pymilvus/orm/types.py
index eebbb50bc..fae883fa8 100644
--- a/pymilvus/orm/types.py
+++ b/pymilvus/orm/types.py
@@ -71,6 +71,14 @@ def is_numeric_datatype(data_type: DataType):
     return is_float_datatype(data_type) or is_integer_datatype(data_type)
 
 
+def is_varchar_datatype(data_type: DataType):
+    return data_type in (DataType.VARCHAR,)
+
+
+def is_bool_datatype(data_type: DataType):
+    return data_type in (DataType.BOOL,)
+
+
 # pylint: disable=too-many-return-statements
 def infer_dtype_by_scalar_data(data: Any):
     if isinstance(data, float):
@@ -105,7 +113,7 @@ def infer_dtype_by_scalar_data(data: Any):
     return DataType.UNKNOWN
 
 
-def infer_dtype_bydata(data: Any):
+def infer_dtype_bydata(data: Any, **kwargs):
     d_type = DataType.UNKNOWN
     if is_scalar(data):
         return infer_dtype_by_scalar_data(data)
@@ -121,7 +129,16 @@ def infer_dtype_bydata(data: Any):
             failed = True
         if not failed:
             d_type = dtype_str_map.get(type_str, DataType.UNKNOWN)
-            return DataType.FLOAT_VECTOR if is_numeric_datatype(d_type) else DataType.UNKNOWN
+            if is_varchar_datatype(d_type) or is_bool_datatype(d_type):
+                return DataType.ARRAY
+            if (
+                kwargs is None
+                or len(kwargs) == 0
+                or (kwargs["type"] is not None and kwargs["type"] == "vector")
+            ):
+                return DataType.FLOAT_VECTOR if is_numeric_datatype(d_type) else DataType.UNKNOWN
+            else:
+                return DataType.ARRAY
 
     if d_type == DataType.UNKNOWN:
         try: