feat: optimize recreate_dataset when index not exists

api/core/index/vector_index/base.py

@@ -6,6 +6,7 @@ from typing import List, Any, cast
 from langchain.embeddings.base import Embeddings
 from langchain.schema import Document, BaseRetriever
 from langchain.vectorstores import VectorStore
+from weaviate import UnexpectedStatusCodeException
 
 from core.index.base import BaseIndex
 from extensions.ext_database import db
@@ -120,7 +121,13 @@ class BaseVectorIndex(BaseIndex):
 
     def recreate_dataset(self, dataset: Dataset):
         logging.info(f"Recreating dataset {dataset.id}")
-        self.delete()
+
+        try:
+            self.delete()
+        except UnexpectedStatusCodeException as e:
+            if e.status_code != 400:
+                # 400 means index not exists
+                raise e
 
         dataset_documents = db.session.query(DatasetDocument).filter(
             DatasetDocument.dataset_id == dataset.id,