diff --git a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py
index 13da5514d1..ec17db5f06 100644
--- a/api/core/app/app_config/easy_ui_based_app/dataset/manager.py
+++ b/api/core/app/app_config/easy_ui_based_app/dataset/manager.py
@@ -91,7 +91,8 @@ class DatasetConfigManager:
                     top_k=dataset_configs.get('top_k', 4),
                     score_threshold=dataset_configs.get('score_threshold'),
                     reranking_model=dataset_configs.get('reranking_model'),
-                    weights=dataset_configs.get('weights')
+                    weights=dataset_configs.get('weights'),
+                    reranking_enabled=dataset_configs.get('reranking_enabled', True),
                 )
             )
 
diff --git a/api/core/app/app_config/entities.py b/api/core/app/app_config/entities.py
index 9133a35c08..a490ddd670 100644
--- a/api/core/app/app_config/entities.py
+++ b/api/core/app/app_config/entities.py
@@ -158,10 +158,11 @@ class DatasetRetrieveConfigEntity(BaseModel):
 
     retrieve_strategy: RetrieveStrategy
     top_k: Optional[int] = None
-    score_threshold: Optional[float] = None
+    score_threshold: Optional[float] = .0
     rerank_mode: Optional[str] = 'reranking_model'
     reranking_model: Optional[dict] = None
     weights: Optional[dict] = None
+    reranking_enabled: Optional[bool] = True
 
 
 
diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py
index d51ea2942a..a69fcffbb4 100644
--- a/api/core/rag/retrieval/dataset_retrieval.py
+++ b/api/core/rag/retrieval/dataset_retrieval.py
@@ -138,6 +138,7 @@ class DatasetRetrieval:
                 retrieve_config.rerank_mode,
                 retrieve_config.reranking_model,
                 retrieve_config.weights,
+                retrieve_config.reranking_enabled,
                 message_id,
             )
 
@@ -606,7 +607,7 @@ class DatasetRetrieval:
                                top_k: int, score_threshold: float) -> list[Document]:
         filter_documents = []
         for document in all_documents:
-            if document.metadata['score'] >= score_threshold:
+            if score_threshold and document.metadata['score'] >= score_threshold:
                 filter_documents.append(document)
         if not filter_documents:
             return []
diff --git a/api/tests/unit_tests/services/workflow/test_workflow_converter.py b/api/tests/unit_tests/services/workflow/test_workflow_converter.py
index 29d55df8c3..f589cd2097 100644
--- a/api/tests/unit_tests/services/workflow/test_workflow_converter.py
+++ b/api/tests/unit_tests/services/workflow/test_workflow_converter.py
@@ -208,7 +208,8 @@ def test__convert_to_knowledge_retrieval_node_for_chatbot():
             reranking_model={
                 'reranking_provider_name': 'cohere',
                 'reranking_model_name': 'rerank-english-v2.0'
-            }
+            },
+            reranking_enabled=True
         )
     )
 
@@ -251,7 +252,8 @@ def test__convert_to_knowledge_retrieval_node_for_workflow_app():
             reranking_model={
                 'reranking_provider_name': 'cohere',
                 'reranking_model_name': 'rerank-english-v2.0'
-            }
+            },
+            reranking_enabled=True
         )
     )