diff --git a/astrbot/core/config/default.py b/astrbot/core/config/default.py
index da0fefbf2..e37646a04 100644
--- a/astrbot/core/config/default.py
+++ b/astrbot/core/config/default.py
@@ -1318,7 +1318,6 @@ CONFIG_METADATA_2 = {
                         "rerank_api_base": "https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank",
                         "rerank_model": "qwen3-rerank",
                         "timeout": 30,
-                        "top_n": 3,
                         "return_documents": False,
                         "instruct": "",
                     },
@@ -1356,11 +1355,6 @@ CONFIG_METADATA_2 = {
                         "description": "重排序模型名称",
                         "type": "string",
                     },
-                    "top_n": {
-                        "description": "返回排序后的top_n个文档",
-                        "type": "int",
-                        "hint": "默认返回全部文档。如果指定的值大于文档总数，将返回全部文档。",
-                    },
                     "return_documents": {
                         "description": "是否在排序结果中返回文档原文",
                         "type": "bool",
diff --git a/astrbot/core/provider/sources/bailian_rerank_source.py b/astrbot/core/provider/sources/bailian_rerank_source.py
index e32b4ea0d..9953699d4 100644
--- a/astrbot/core/provider/sources/bailian_rerank_source.py
+++ b/astrbot/core/provider/sources/bailian_rerank_source.py
@@ -32,7 +32,10 @@ class BailianRerankProvider(RerankProvider):
 
         self.model = provider_config.get("rerank_model", "qwen3-rerank")
         self.timeout = provider_config.get("timeout", 30)
-        self.default_top_n = provider_config.get("top_n", 5)
+        # 自动读取知识库配置的 kb_final_top_k，如果没有则使用配置中的 top_n
+        self.default_top_n = provider_settings.get(
+            "kb_final_top_k"
+        ) or provider_config.get("top_n", 5)
         self.return_documents = provider_config.get("return_documents", False)
         self.instruct = provider_config.get("instruct", "")
 
@@ -88,7 +91,7 @@ class BailianRerankProvider(RerankProvider):
             )
             documents = documents[:500]
 
-        # 使用传入的top_n或默认配置
+        # 优先使用传入的top_n参数（来自知识库配置），如果没有才使用默认配置
         final_top_n = top_n if top_n is not None else self.default_top_n
 
         try: