Support Qdrant collection API variants

backend/app/vector_store.py

@@ -64,6 +64,25 @@ def get_embedding_size() -> int:
         return 384
 
 
+def create_collection(client: Any, collection_name: str, size: int, distance: Any) -> None:
+    """Create a Qdrant collection across qdrant-client keyword changes."""
+    vector_params = VectorParams(size=size, distance=distance)
+    try:
+        client.create_collection(
+            collection_name=collection_name,
+            vectors_config=vector_params,
+            wait=True,
+        )
+    except TypeError as exc:
+        if "vectors_config" not in str(exc):
+            raise
+        client.create_collection(
+            collection_name=collection_name,
+            vectors=vector_params,
+            wait=True,
+        )
+
+
 async def ensure_collection(vector_size: Optional[int] = None) -> Dict[str, Any]:
     """
     Ensure the Qdrant collection exists with proper schema.
@@ -91,11 +110,7 @@ async def ensure_collection(vector_size: Optional[int] = None) -> Dict[str, Any]
         
         if not collection_exists:
             # Create new collection
-            client.create_collection(
-                collection_name=_collection_name,
-                vectors=VectorParams(size=size, distance=distance),
-                wait=True
-            )
+            create_collection(client, _collection_name, size, distance)
             
             return {
                 "success": True,
@@ -112,11 +127,7 @@ async def ensure_collection(vector_size: Optional[int] = None) -> Dict[str, Any]
                 if current_size != size:
                     # Collection exists with wrong size - delete and recreate
                     client.delete_collection(_collection_name)
-                    client.create_collection(
-                        collection_name=_collection_name,
-                        vectors=VectorParams(size=size, distance=distance),
-                        wait=True
-                    )
+                    create_collection(client, _collection_name, size, distance)
                     
                     return {
                         "success": True,