diff --git a/mobile/lib/db/ml/embeddings_db.dart b/mobile/lib/db/ml/clip_db.dart
similarity index 93%
rename from mobile/lib/db/ml/embeddings_db.dart
rename to mobile/lib/db/ml/clip_db.dart
index 9c362b3d66..846fdef512 100644
--- a/mobile/lib/db/ml/embeddings_db.dart
+++ b/mobile/lib/db/ml/clip_db.dart
@@ -6,8 +6,9 @@ import "package:photos/db/ml/db.dart";
 import "package:photos/db/ml/db_fields.dart";
 import "package:photos/events/embedding_updated_event.dart";
 import "package:photos/models/ml/clip.dart";
+import "package:photos/models/ml/ml_versions.dart";
 
-extension EmbeddingsDB on MLDataDB {
+extension ClipDB on MLDataDB {
   static const databaseName = "ente.embeddings.db";
 
   Future<List<ClipEmbedding>> getAll() async {
@@ -28,10 +29,12 @@ extension EmbeddingsDB on MLDataDB {
     return result;
   }
 
-  Future<int> getClipIndexedFileCount() async {
+  Future<int> getClipIndexedFileCount({
+    int minimumMlVersion = clipMlVersion,
+  }) async {
     final db = await MLDataDB.instance.asyncDB;
-    const String query =
-        'SELECT COUNT(DISTINCT $fileIDColumn) as count FROM $clipTable';
+    final String query =
+        'SELECT COUNT(DISTINCT $fileIDColumn) as count FROM $clipTable WHERE $mlVersionColumn >= $minimumMlVersion';
     final List<Map<String, dynamic>> maps = await db.getAll(query);
     return maps.first['count'] as int;
   }
diff --git a/mobile/lib/services/machine_learning/face_ml/face_recognition_service.dart b/mobile/lib/services/machine_learning/face_ml/face_recognition_service.dart
index f2a6f03e31..1db2dfed18 100644
--- a/mobile/lib/services/machine_learning/face_ml/face_recognition_service.dart
+++ b/mobile/lib/services/machine_learning/face_ml/face_recognition_service.dart
@@ -5,8 +5,8 @@ import "dart:ui" show Image;
 
 import "package:logging/logging.dart";
 import "package:photos/core/event_bus.dart";
+import "package:photos/db/ml/clip_db.dart";
 import "package:photos/db/ml/db.dart";
-import "package:photos/db/ml/embeddings_db.dart";
 import "package:photos/events/diff_sync_complete_event.dart";
 import "package:photos/events/people_changed_event.dart";
 import "package:photos/extensions/list.dart";
diff --git a/mobile/lib/services/machine_learning/semantic_search/semantic_search_service.dart b/mobile/lib/services/machine_learning/semantic_search/semantic_search_service.dart
index 3efa3f410a..af345aefb0 100644
--- a/mobile/lib/services/machine_learning/semantic_search/semantic_search_service.dart
+++ b/mobile/lib/services/machine_learning/semantic_search/semantic_search_service.dart
@@ -9,8 +9,8 @@ import "package:logging/logging.dart";
 import "package:photos/core/cache/lru_map.dart";
 import "package:photos/core/event_bus.dart";
 import "package:photos/db/files_db.dart";
+import "package:photos/db/ml/clip_db.dart";
 import "package:photos/db/ml/db.dart";
-import "package:photos/db/ml/embeddings_db.dart";
 import 'package:photos/events/embedding_updated_event.dart';
 import "package:photos/models/file/file.dart";
 import "package:photos/models/ml/clip.dart";
diff --git a/mobile/lib/utils/ml_util.dart b/mobile/lib/utils/ml_util.dart
index dffca632bd..d50555d38a 100644
--- a/mobile/lib/utils/ml_util.dart
+++ b/mobile/lib/utils/ml_util.dart
@@ -6,8 +6,8 @@ import "package:flutter/services.dart" show PlatformException;
 import "package:logging/logging.dart";
 import "package:photos/core/configuration.dart";
 import "package:photos/db/files_db.dart";
+import "package:photos/db/ml/clip_db.dart";
 import "package:photos/db/ml/db.dart";
-import "package:photos/db/ml/embeddings_db.dart";
 import "package:photos/models/file/extensions/file_props.dart";
 import "package:photos/models/file/file.dart";
 import "package:photos/models/file/file_type.dart";
@@ -51,8 +51,7 @@ class FileMLInstruction {
 Future<IndexStatus> getIndexStatus() async {
   try {
     final int indexableFiles = (await getIndexableFileIDs()).length;
-    final int facesIndexedFiles =
-        await MLDataDB.instance.getIndexedFileCount();
+    final int facesIndexedFiles = await MLDataDB.instance.getIndexedFileCount();
     final int clipIndexedFiles =
         await MLDataDB.instance.getClipIndexedFileCount();
     final int indexedFiles = math.min(facesIndexedFiles, clipIndexedFiles);