diff --git a/python/semantic_kernel/memory/volatile_memory_store.py b/python/semantic_kernel/memory/volatile_memory_store.py
index dd1a631d0614..e4b7839c08ff 100644
--- a/python/semantic_kernel/memory/volatile_memory_store.py
+++ b/python/semantic_kernel/memory/volatile_memory_store.py
@@ -154,9 +154,9 @@ async def get_batch(
         results = [self._store[collection_name][key] for key in keys if key in self._store[collection_name]]
 
         if not with_embeddings:
-            # create copy of results without embeddings
+            # create copies of results without embeddings
+            results = [deepcopy(result) for result in results]
             for result in results:
-                result = deepcopy(result)
                 result._embedding = None
         return results
 
@@ -280,9 +280,9 @@ async def get_nearest_matches(
         top_results = filtered_results[:limit]
 
         if not with_embeddings:
-            # create copy of results without embeddings
+            # create copies of results without embeddings
+            top_results = [deepcopy(result) for result in top_results]
             for result in top_results:
-                result = deepcopy(result)
                 result[0]._embedding = None
         return top_results
 
diff --git a/python/tests/unit/memory/test_volatile_memory_store_embeddings.py b/python/tests/unit/memory/test_volatile_memory_store_embeddings.py
new file mode 100644
index 000000000000..0ee23d72a2b3
--- /dev/null
+++ b/python/tests/unit/memory/test_volatile_memory_store_embeddings.py
@@ -0,0 +1,49 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import warnings
+
+import numpy as np
+import pytest
+
+from semantic_kernel.memory.memory_record import MemoryRecord
+from semantic_kernel.memory.volatile_memory_store import VolatileMemoryStore
+
+
+@pytest.fixture
+async def store() -> VolatileMemoryStore:
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", DeprecationWarning)
+        memory_store = VolatileMemoryStore()
+    await memory_store.create_collection("test")
+    await memory_store.upsert("test", MemoryRecord.local_record("a", "text a", None, None, np.array([1.0, 0.0])))
+    return memory_store
+
+
+async def test_get_batch_without_embeddings(store: VolatileMemoryStore):
+    results = await store.get_batch("test", ["a"], with_embeddings=False)
+
+    assert results[0]._embedding is None
+    # the stored record must keep its embedding
+    assert store._store["test"]["a"]._embedding is not None
+
+
+async def test_get_batch_with_embeddings(store: VolatileMemoryStore):
+    results = await store.get_batch("test", ["a"], with_embeddings=True)
+
+    assert results[0]._embedding is not None
+
+
+async def test_get_nearest_matches_without_embeddings(store: VolatileMemoryStore):
+    results = await store.get_nearest_matches("test", np.array([1.0, 0.0]), limit=1, with_embeddings=False)
+
+    assert results[0][0]._embedding is None
+    assert store._store["test"]["a"]._embedding is not None
+    # a second query still works, so the stored embedding was not cleared
+    again = await store.get_nearest_matches("test", np.array([1.0, 0.0]), limit=1, with_embeddings=True)
+    assert again[0][0]._embedding is not None
+
+
+async def test_get_nearest_matches_with_embeddings(store: VolatileMemoryStore):
+    results = await store.get_nearest_matches("test", np.array([1.0, 0.0]), limit=1, with_embeddings=True)
+
+    assert results[0][0]._embedding is not None