feat: add scroll and batch delete methods to Qdrant client

Add bulk operations needed for maintenance:
- scroll_all_points(): paginated iteration over all points
- delete_by_ids(): batch delete points by ID list

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

src/clients/qdrant_client.py

@@ -551,6 +551,97 @@ class QdrantClientWrapper:
             logger.error(f"Search failed: {e}", exc_info=True)
             return []
 
+    async def scroll_all_points(
+        self,
+        collection_name: str,
+        batch_size: int = 100,
+        with_payload: bool = True,
+        with_vectors: bool = False,
+        filter_conditions: Optional[Dict[str, Any]] = None
+    ) -> List[Dict[str, Any]]:
+        """
+        Scroll through all points in a collection.
+
+        Args:
+            collection_name: Collection name
+            batch_size: Number of points per batch
+            with_payload: Include payload in results
+            with_vectors: Include vectors in results
+            filter_conditions: Optional filter conditions
+
+        Returns:
+            List of all points with id and payload
+        """
+        all_points = []
+        offset = None
+
+        # Build filter if provided
+        scroll_filter = None
+        if filter_conditions:
+            conditions = []
+            for key, value in filter_conditions.items():
+                conditions.append(
+                    FieldCondition(key=key, match=MatchValue(value=value))
+                )
+            scroll_filter = Filter(must=conditions)
+
+        try:
+            while True:
+                points, next_offset = self.client.scroll(
+                    collection_name=collection_name,
+                    scroll_filter=scroll_filter,
+                    limit=batch_size,
+                    offset=offset,
+                    with_payload=with_payload,
+                    with_vectors=with_vectors
+                )
+
+                for point in points:
+                    all_points.append({
+                        "id": str(point.id),
+                        "payload": dict(point.payload) if point.payload else {}
+                    })
+
+                if next_offset is None:
+                    break
+                offset = next_offset
+
+            return all_points
+
+        except Exception as e:
+            logger.error(f"Failed to scroll collection {collection_name}: {e}", exc_info=True)
+            return []
+
+    async def delete_by_ids(
+        self,
+        collection_name: str,
+        point_ids: List[str]
+    ) -> int:
+        """
+        Delete points by their IDs.
+
+        Args:
+            collection_name: Collection name
+            point_ids: List of point IDs to delete
+
+        Returns:
+            Number of points deleted
+        """
+        if not point_ids:
+            return 0
+
+        try:
+            self.client.delete(
+                collection_name=collection_name,
+                points_selector=point_ids
+            )
+            logger.info(f"Deleted {len(point_ids)} points from {collection_name}")
+            return len(point_ids)
+
+        except Exception as e:
+            logger.error(f"Failed to delete points by IDs: {e}", exc_info=True)
+            return 0
+
     async def list_collections(self) -> List[Dict[str, Any]]:
         """
         List all collections with stats.