Added unit tests for the query() method.

tests/unit/rag/test_rag_query.py

@@ -0,0 +1,33 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from llama_stack.apis.vector_io import QueryChunksResponse
+from llama_stack.providers.inline.tool_runtime.rag.memory import MemoryToolRuntimeImpl
+
+
+class TestRagQuery:
+    @pytest.mark.asyncio
+    async def test_query_raises_on_empty_vector_db_ids(self):
+        rag_tool = MemoryToolRuntimeImpl(config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock())
+        with pytest.raises(ValueError):
+            await rag_tool.query(content=MagicMock(), vector_db_ids=[])
+
+    @pytest.mark.asyncio
+    async def test_query_raises_on_no_chunks_found(self):
+        vector_io_api = MagicMock()
+        vector_io_api.query_chunks = AsyncMock(return_value=QueryChunksResponse(chunks=[], scores=[]))
+
+        rag_tool = MemoryToolRuntimeImpl(
+            config=MagicMock(),
+            vector_io_api=vector_io_api,
+            inference_api=MagicMock(),
+        )
+        with pytest.raises(ValueError):
+            await rag_tool.query(content=MagicMock(), vector_db_ids=["test_db"])