update new hybrid match_documents

app/supabase_db.py

@@ -32,7 +32,7 @@ class SupabaseClient:
             return None
 
     @timing_decorator_sync
-    def match_documents(self, embedding: List[float], match_count: int = 20, vehicle_keywords: Optional[List[str]] = None, user_question: str = '', min_rank_threshold: float = 0.05, rrf_k: int = 60):
+    def match_documents(self, embedding: List[float], match_count: int = 20, vehicle_keywords: Optional[List[str]] = None, user_question: str = '', min_rank_threshold: float = 0.001, rrf_k: int = 60):
         """
         Truy vấn vector similarity search qua RPC match_documents.
         Input: embedding (list[float]), match_count (int), vehicle_keywords (list[str] hoặc None)