diff --git a/app/singleton.py b/app/singleton.py
index 45bd421..b6accf4 100644
--- a/app/singleton.py
+++ b/app/singleton.py
@@ -1,8 +1,9 @@
 """Global singleton instances for Vera-AI."""
+from typing import Optional
 from .qdrant_service import QdrantService
 from .config import config
 
-_qdrant_service: QdrantService = None
+_qdrant_service: Optional[QdrantService] = None
 
 
 def get_qdrant_service() -> QdrantService:
diff --git a/app/utils.py b/app/utils.py
index 793b356..71550d6 100644
--- a/app/utils.py
+++ b/app/utils.py
@@ -1,5 +1,6 @@
 """Utility functions for vera-ai."""
 from .config import config
+from .singleton import get_qdrant_service
 import tiktoken
 import os
 from typing import List, Dict, Optional
@@ -13,24 +14,6 @@ ENCODING = tiktoken.get_encoding("cl100k_base")
 PROMPTS_DIR = Path(os.environ.get("VERA_PROMPTS_DIR", "/app/prompts"))
 STATIC_DIR = Path(os.environ.get("VERA_STATIC_DIR", "/app/static"))
 
-# Global qdrant_service instance for utils
-_qdrant_service = None
-
-def get_qdrant_service():
-    """Get or create the QdrantService singleton."""
-    global _qdrant_service
-    if _qdrant_service is None:
-        from .config import config
-        from .qdrant_service import QdrantService
-        _qdrant_service = QdrantService(
-            host=config.qdrant_host,
-            collection=config.qdrant_collection,
-            embedding_model=config.embedding_model,
-            vector_size=config.vector_size,
-            ollama_host=config.ollama_host
-        )
-    return _qdrant_service
-
 def count_tokens(text: str) -> int:
     """Count tokens in text."""
     if not text: