diff --git a/api/.env.example b/api/.env.example
index 00b6c28a919abe..52cdd9ecb28dc3 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -413,4 +413,3 @@ RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
 
 CREATE_TIDB_SERVICE_JOB_ENABLED=false
 
-RETRIEVAL_TOP_N=0
diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index e88eb980577121..f1cb3efda7b3e3 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -626,8 +626,6 @@ class DataSetConfig(BaseSettings):
         default=30,
     )
 
-    RETRIEVAL_TOP_N: int = Field(description="number of retrieval top_n", default=0)
-
 
 class WorkspaceConfig(BaseSettings):
     """
diff --git a/api/core/rag/datasource/retrieval_service.py b/api/core/rag/datasource/retrieval_service.py
index 759166da4c4be8..b2141396d6dcc4 100644
--- a/api/core/rag/datasource/retrieval_service.py
+++ b/api/core/rag/datasource/retrieval_service.py
@@ -3,7 +3,6 @@
 
 from flask import Flask, current_app
 
-from configs import DifyConfig
 from core.rag.data_post_processor.data_post_processor import DataPostProcessor
 from core.rag.datasource.keyword.keyword_factory import Keyword
 from core.rag.datasource.vdb.vector_factory import Vector
@@ -114,7 +113,7 @@ def retrieve(
                 query=query,
                 documents=all_documents,
                 score_threshold=score_threshold,
-                top_n=DifyConfig.RETRIEVAL_TOP_N or top_k,
+                top_n=top_k,
             )
 
         return all_documents
@@ -186,7 +185,7 @@ def embedding_search(
                                 query=query,
                                 documents=documents,
                                 score_threshold=score_threshold,
-                                top_n=DifyConfig.RETRIEVAL_TOP_N or len(documents),
+                                top_n=len(documents),
                             )
                         )
                     else:
@@ -231,7 +230,7 @@ def full_text_index_search(
                                 query=query,
                                 documents=documents,
                                 score_threshold=score_threshold,
-                                top_n=DifyConfig.RETRIEVAL_TOP_N or len(documents),
+                                top_n=len(documents),
                             )
                         )
                     else: