diff --git a/dsRagAnything/StartShuShi.py b/dsRagAnything/T3_StartShuShi.py
similarity index 100%
rename from dsRagAnything/StartShuShi.py
rename to dsRagAnything/T3_StartShuShi.py
diff --git a/dsRagAnything/StartMath.py b/dsRagAnything/T4_StartMath.py
similarity index 92%
rename from dsRagAnything/StartMath.py
rename to dsRagAnything/T4_StartMath.py
index a69e83c1..37424f6f 100644
--- a/dsRagAnything/StartMath.py
+++ b/dsRagAnything/T4_StartMath.py
@@ -67,7 +67,7 @@ app.mount("/static", StaticFiles(directory="Static"), name="static")
 async def rag(request: fastapi.Request):
     data = await request.json()
     query = data.get("query")
-    lightrag_working_dir = "./Topic/Chinese"
+    lightrag_working_dir = "./Topic/Math"
     async def generate_response_stream(query: str):
         try:
             llm_model_func = create_llm_model_func()
@@ -92,10 +92,10 @@ async def rag(request: fastapi.Request):
             resp = await rag.aquery(
                 query=query,
                 mode="hybrid",  # 直接传入mode参数
-                stream=True  # 直接传入stream参数
+                stream=True     # 直接传入stream参数
             )
             
-            # 直接处理流式响应，不再打印完整结果
+            # 直接处理流式响应
             async for chunk in resp:
                 if not chunk:
                     continue
diff --git a/dsRagAnything/Topic/Chinese/kv_store_llm_response_cache.json b/dsRagAnything/Topic/Chinese/kv_store_llm_response_cache.json
index 3031a990..d63b8fcf 100644
--- a/dsRagAnything/Topic/Chinese/kv_store_llm_response_cache.json
+++ b/dsRagAnything/Topic/Chinese/kv_store_llm_response_cache.json
@@ -2182,15 +2182,15 @@
       "embedding_max": null,
       "original_prompt": "小学数学有哪些模型"
     },
-    "9b50a199b83407c62d8532b7b904c17d": {
-      "return": "{\"high_level_keywords\": [\"\\u82cf\\u8f7c\", \"\\u5bb6\\u4eba\", \"\\u5bb6\\u5ead\\u5173\\u7cfb\"], \"low_level_keywords\": [\"\\u7236\\u4eb2\", \"\\u6bcd\\u4eb2\", \"\\u5144\\u5f1f\", \"\\u59d0\\u59b9\", \"\\u59bb\\u5b50\", \"\\u5b50\\u5973\"]}",
+    "6a2a99a3bd4688b079a45fedbd1cd493": {
+      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6a21\\u578b\", \"\\u57fa\\u7840\\u6559\\u80b2\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\", \"\\u6570\\u8f74\"]}",
       "cache_type": "keywords",
       "chunk_id": null,
       "embedding": null,
       "embedding_shape": null,
       "embedding_min": null,
       "embedding_max": null,
-      "original_prompt": "苏轼的家人都有谁？"
+      "original_prompt": "小学数学中有哪些模型？"
     }
   }
 }
\ No newline at end of file
diff --git a/dsRagAnything/Topic/Math/kv_store_llm_response_cache.json b/dsRagAnything/Topic/Math/kv_store_llm_response_cache.json
index ffb14758..bf90e9e6 100644
--- a/dsRagAnything/Topic/Math/kv_store_llm_response_cache.json
+++ b/dsRagAnything/Topic/Math/kv_store_llm_response_cache.json
@@ -2181,6 +2181,16 @@
       "embedding_min": null,
       "embedding_max": null,
       "original_prompt": "小学数学有哪些模型"
+    },
+    "6a2a99a3bd4688b079a45fedbd1cd493": {
+      "return": "{\"high_level_keywords\": [\"\\u5c0f\\u5b66\\u6570\\u5b66\", \"\\u6570\\u5b66\\u6559\\u80b2\", \"\\u5b66\\u4e60\\u6a21\\u578b\"], \"low_level_keywords\": [\"\\u52a0\\u51cf\\u6cd5\\u6a21\\u578b\", \"\\u4e58\\u9664\\u6cd5\\u6a21\\u578b\", \"\\u51e0\\u4f55\\u56fe\\u5f62\", \"\\u5206\\u6570\\u6a21\\u578b\", \"\\u5e94\\u7528\\u9898\"]}",
+      "cache_type": "keywords",
+      "chunk_id": null,
+      "embedding": null,
+      "embedding_shape": null,
+      "embedding_min": null,
+      "embedding_max": null,
+      "original_prompt": "小学数学中有哪些模型？"
     }
   }
 }
\ No newline at end of file