enh: kb metadata search

backend/open_webui/retrieval/vector/dbs/qdrant_multitenancy.py

@@ -254,7 +254,7 @@ class QdrantClient(VectorDBBase):
         )
 
     def search(
-        self, collection_name: str, vectors: List[List[float | int]], limit: int
+        self, collection_name: str, vectors: List[List[float | int]], filter: Optional[Dict] = None, limit: int = 10
     ) -> Optional[SearchResult]:
         """
         Search for the nearest neighbor items based on the vectors with tenant isolation.