diff --git a/pymilvus_orm/utility.py b/pymilvus_orm/utility.py
index 0feedb7..b4a16d7 100644
--- a/pymilvus_orm/utility.py
+++ b/pymilvus_orm/utility.py
@@ -260,3 +260,53 @@ def list_collections(timeout=None, using="default") -> list:
         >>> utility.list_collections()
     """
     return _get_connection(using).list_collections()
+
+
+def calc_distance(vectors_left, vectors_right, params=None, timeout=None, using="default"):
+    """
+    Calculate distance between two vector arrays.
+
+    :param vectors_left: The vectors on the left of operator.
+    :type  vectors_left: dict
+    `{"ids": [1, 2, 3, .... n], "collection": "c_1", "partition": "p_1", "field": "v_1"}`
+    or
+    `{"float_vectors": [[1.0, 2.0], [3.0, 4.0], ... [9.0, 10.0]]}`
+    or
+    `{"bin_vectors": [b'\x94', b'N', ... b'\xca']}`
+
+    :param vectors_right: The vectors on the right of operator.
+    :type  vectors_right: dict
+    `{"ids": [1, 2, 3, .... n], "collection": "col_1", "partition": "p_1", "field": "v_1"}`
+    or
+    `{"float_vectors": [[1.0, 2.0], [3.0, 4.0], ... [9.0, 10.0]]}`
+    or
+    `{"bin_vectors": [b'\x94', b'N', ... b'\xca']}`
+
+    :param params: parameters, currently only support "metric_type", default value is "L2"
+                   extra parameter for "L2" distance: "sqrt", true or false, default is false
+                   extra parameter for "HAMMING" and "TANIMOTO": "dim", set this value if dimension is not a multiple of 8, otherwise the dimension will be calculted by list length
+    :type  params: dict
+        There are examples of supported metric_type:
+            `{"metric": "L2"}`
+            `{"metric": "IP"}`
+            `{"metric": "HAMMING"}`
+            `{"metric": "TANIMOTO"}`
+        Note: "L2", "IP", "HAMMING", "TANIMOTO" are case insensitive
+
+    :return: 2-d array distances
+    :rtype: list[list[int]] for "HAMMING" or list[list[float]] for others
+        Assume the vectors_left: L_1, L_2, L_3
+        Assume the vectors_right: R_a, R_b
+        Distance between L_n and R_m we called "D_n_m"
+        The returned distances are arranged like this:
+          [D_1_a, D_1_b, D_2_a, D_2_b, D_3_a, D_3_b]
+
+    :example:
+        >>> vectors_l = [[random.random() for _ in range(64)] for _ in range(5)]
+        >>> vectors_r = [[random.random() for _ in range(64)] for _ in range(10)]
+        >>> op_l = {"float_vectors": vectors_l}
+        >>> op_r = {"float_vectors": vectors_r}
+        >>> params = {"metric": "L2", "sqrt": True}
+        >>> results = utility.calc_distance(vectors_left=op_l, vectors_right=op_r, params=params)
+    """
+    return _get_connection(using).calc_distance(vectors_left, vectors_right, params, timeout)