diff --git a/tests/test_messageindex.py b/tests/test_messageindex.py
index 74bb01b..864fd3b 100644
--- a/tests/test_messageindex.py
+++ b/tests/test_messageindex.py
@@ -142,23 +142,29 @@ async def test_lookup_messages_in_subset(
     assert result[0].score == 0.9
 
 
-@pytest.mark.skip(
-    reason="TODO: Doesn't work; also does too much mocking (probably related)"
-)
 @pytest.mark.asyncio
-async def test_generate_embedding(message_text_index: IMessageTextEmbeddingIndex):
-    """Test generating an embedding for a message."""
-    mock_text_loc_index = cast(
-        MagicMock, cast(MessageTextIndex, message_text_index).text_location_index
-    )
-    mock_text_loc_index._vector_base.get_embedding = AsyncMock(
-        return_value=[0.1, 0.2, 0.3]
-    )
+async def test_generate_embedding(needs_auth: None):
+    """Test generating an embedding for a message without mocking."""
+    from typeagent.aitools.embeddings import AsyncEmbeddingModel, TEST_MODEL_NAME
+    from typeagent.aitools.vectorbase import TextEmbeddingIndexSettings
+    import numpy as np
+
+    # Create real MessageTextIndex with test model
+    test_model = AsyncEmbeddingModel(model_name=TEST_MODEL_NAME)
+    embedding_settings = TextEmbeddingIndexSettings(test_model)
+    settings = MessageTextIndexSettings(embedding_settings)
+    index = MessageTextIndex(settings)
+
+    embedding = await index.generate_embedding("test message")
+
+    assert embedding is not None
+    assert len(embedding) == test_model.embedding_size  # 3 for test model
 
-    embedding = await message_text_index.generate_embedding("test message")
+    dot = float(np.dot(embedding, embedding))
+    assert abs(dot - 1.0) < 1e-6, f"Embedding not normalized: {dot}"
 
-    assert embedding == [0.1, 0.2, 0.3]
-    mock_text_loc_index._vector_base.get_embedding.assert_awaited_once()
+    embedding2 = await index.generate_embedding("test message")
+    assert np.allclose(embedding, embedding2)
 
 
 @pytest.mark.asyncio