fix(vector_io): propagate search errors instead of returning empty results

src/ogx/providers/utils/memory/openai_vector_store_mixin.py

@@ -1121,14 +1121,8 @@ async def openai_search_vector_store(
             )
 
         except Exception as e:
-            # Log the error and return empty results
-            logger.error("Error searching vector store", vector_store_id=vector_store_id, error=str(e))
-            return VectorStoreSearchResponsePage(
-                search_query=request.query if isinstance(request.query, list) else [request.query],
-                data=[],
-                has_more=False,
-                next_page=None,
-            )
+            logger.error("Failed to search vector store", vector_store_id=vector_store_id, error=str(e))
+            raise
 
     def _build_reranker_params(
         self,

tests/integration/vector_io/test_openai_vector_stores.py

@@ -3585,7 +3585,7 @@ def test_openai_vector_store_with_chunks(
     filtered_search = compat_client.vector_stores.search(
         vector_store_id=vector_store.id,
         query="artificial intelligence",
-        filters={"topic": "ai"},
+        filters={"type": "eq", "key": "topic", "value": "ai"},
         max_num_results=5,
     )
 

tests/unit/providers/vector_io/test_vector_io_stores_config.py

@@ -213,6 +213,32 @@ async def mock_query_chunks(*args, **kwargs):
     assert result.search_query == ["test query"]  # Original query preserved
 
 
+async def test_search_vector_store_propagates_backend_errors(vector_io_adapter):
+    """Test that exceptions from the vector store backend propagate to the caller."""
+    vector_store_id = "test_store_error"
+    vector_io_adapter.openai_vector_stores[vector_store_id] = {
+        "id": vector_store_id,
+        "name": "Test Store",
+        "description": "",
+        "vector_store_id": "test_db",
+        "embedding_model": "test/embedding",
+    }
+
+    async def mock_query_chunks(*args, **kwargs):
+        raise KeyError("chunk_content")
+
+    vector_io_adapter.query_chunks = mock_query_chunks
+
+    from ogx_api import OpenAISearchVectorStoreRequest
+
+    request = OpenAISearchVectorStoreRequest(query="test query", max_num_results=5)
+    with pytest.raises(KeyError, match="chunk_content"):
+        await vector_io_adapter.openai_search_vector_store(
+            vector_store_id=vector_store_id,
+            request=request,
+        )
+
+
 async def test_create_gin_index_executes_correct_sql():
     from ogx.providers.remote.vector_io.pgvector.config import PGVectorHNSWVectorIndex
     from ogx.providers.remote.vector_io.pgvector.pgvector import PGVectorIndex