diff --git a/tests/python_client/common/common_type.py b/tests/python_client/common/common_type.py
index e741db9682..089137f368 100644
--- a/tests/python_client/common/common_type.py
+++ b/tests/python_client/common/common_type.py
@@ -46,6 +46,7 @@ float_field_desc = "float type field"
 float_vec_field_desc = "float vector type field"
 binary_vec_field_desc = "binary vector type field"
 max_dim = 32768
+min_dim = 1
 gracefulTime = 1
 default_nlist = 128
 compact_segment_num_threshold = 4
diff --git a/tests/python_client/testcases/test_collection.py b/tests/python_client/testcases/test_collection.py
index ee82415d9d..4e1f206f73 100644
--- a/tests/python_client/testcases/test_collection.py
+++ b/tests/python_client/testcases/test_collection.py
@@ -1502,6 +1502,22 @@ class TestCollectionCountBinary(TestcaseBase):
         collection_w.create_index(ct.default_binary_vec_field_name, default_binary_index_params)
         assert collection_w.num_entities == insert_count
 
+    @pytest.mark.tags(CaseLabel.L1)
+    @pytest.mark.parametrize("auto_id",[True, False])
+    def test_binary_collection_with_min_dim(self, auto_id):
+        """
+        target: test binary collection when dim=1
+        method: creat collection and set dim=1
+        expected: check error message successfully
+        """
+        self._connect()
+        dim = 1
+        c_schema = cf.gen_default_binary_collection_schema(auto_id=auto_id, dim=dim)
+        collection_w = self.init_collection_wrap(schema=c_schema,
+                                                 check_task=CheckTasks.err_res,
+                                                 check_items={"err_code": 1,
+                                                              "err_msg": f"invalid dimension: {dim}. should be multiple of 8."})
+
     @pytest.mark.tags(CaseLabel.L2)
     def test_collection_count_no_entities(self):
         """
diff --git a/tests/python_client/testcases/test_search.py b/tests/python_client/testcases/test_search.py
index 64a24c8094..16e8af36ed 100644
--- a/tests/python_client/testcases/test_search.py
+++ b/tests/python_client/testcases/test_search.py
@@ -1,5 +1,6 @@
 import multiprocessing
 import numbers
+import random
 
 import pytest
 from time import sleep
@@ -16,6 +17,7 @@ from pymilvus.orm.types import CONSISTENCY_STRONG, CONSISTENCY_BOUNDED, CONSISTE
 prefix = "search_collection"
 search_num = 10
 max_dim = ct.max_dim
+min_dim = ct.min_dim
 epsilon = ct.epsilon
 gracefulTime = ct.gracefulTime
 default_nb = ct.default_nb
@@ -1207,6 +1209,30 @@ class TestCollectionSearch(TestcaseBase):
                                          "limit": nq,
                                          "_async": _async})
 
+    @pytest.mark.tags(CaseLabel.L1)
+    def test_search_min_dim(self, auto_id, _async):
+        """
+        target: test search with min configuration
+        method: create connection, collection, insert and search with dim=1
+        expected: search successfully
+        """
+        # 1. initialize with data
+        collection_w, _, _, insert_ids = self.init_collection_general(prefix, True, 100,
+                                                                      auto_id=auto_id,
+                                                                      dim=min_dim)[0:4]
+        # 2. search
+        nq = 2
+        log.info("test_search_min_dim: searching collection %s" % collection_w.name)
+        vectors = [[random.random() for _ in range(min_dim)] for _ in range(nq)]
+        collection_w.search(vectors[:nq], default_search_field,
+                            default_search_params, nq,
+                            default_search_exp, _async=_async,
+                            check_task=CheckTasks.check_search_results,
+                            check_items={"nq": nq,
+                                         "ids": insert_ids,
+                                         "limit": nq,
+                                         "_async": _async})
+
     @pytest.mark.tags(CaseLabel.L1)
     @pytest.mark.parametrize("index, params",
                              zip(ct.all_index_types[:9],
@@ -1247,6 +1273,47 @@ class TestCollectionSearch(TestcaseBase):
                                              "limit": default_limit,
                                              "_async": _async})
 
+    @pytest.mark.tags(CaseLabel.L2)
+    @pytest.mark.skip(reason="issue #18479")
+    @pytest.mark.parametrize("index, params",
+                             zip(ct.all_index_types[:9],
+                                 ct.default_index_params[:9]))
+    def test_search_after_different_index_with_min_dim(self, index, params, auto_id, _async):
+        """
+        target: test search after different index with min dim
+        method: test search after different index and corresponding search params with dim = 1
+        expected: search successfully with limit(topK)
+        """
+        # 1. initialize with data
+        collection_w, _, _, insert_ids, time_stamp = self.init_collection_general(prefix, True, 5000,
+                                                                                  partition_num=1,
+                                                                                  auto_id=auto_id,
+                                                                                  dim=min_dim, is_index=True)[0:5]
+        # 2. create index and load
+        if params.get("m"):
+            if (min_dim % params["m"]) != 0:
+                params["m"] = min_dim // 4
+        if params.get("PQM"):
+            if (min_dim % params["PQM"]) != 0:
+                params["PQM"] = min_dim // 4
+        default_index = {"index_type": index, "params": params, "metric_type": "L2"}
+        collection_w.create_index("float_vector", default_index)
+        collection_w.load()
+        # 3. search
+        search_params = cf.gen_search_param(index)
+        vectors = [[random.random() for _ in range(min_dim)] for _ in range(default_nq)]
+        for search_param in search_params:
+            log.info("Searching with search params: {}".format(search_param))
+            collection_w.search(vectors[:default_nq], default_search_field,
+                                search_param, default_limit,
+                                default_search_exp, _async=_async,
+                                travel_timestamp=time_stamp,
+                                check_task=CheckTasks.check_search_results,
+                                check_items={"nq": default_nq,
+                                             "ids": insert_ids,
+                                             "limit": default_limit,
+                                             "_async": _async})
+
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.parametrize("index, params",
                              zip(ct.all_index_types[:9],