better hybrid search

app.py

@@ -190,7 +190,7 @@ class FiftyOneAssistant:
         """Wrapper for GPU embedding function."""
         return get_embedding_gpu(text, config.embedding_model)
     
-    def hybrid_search(query_text: str, query_vector: List[float], limit: int = 3, text_boost: float = 0.3):
+    def hybrid_search(self, query_text: str, query_vector: List[float], limit: int = 3, text_boost: float = 0.3):
         """
         Hybrid search using only dense vectors + text filtering
         """
@@ -251,7 +251,7 @@ class FiftyOneAssistant:
         """Get relevant context."""
         try:
             query_vector = self.get_embedding(user_query)
-            results = self.hybrid_search(user_query, query_vector)
+            results = self.hybrid_search(query_text=user_query, query_vector=query_vector)
             
             if not results:
                 return "No relevant content found"