diff --git a/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/conversation/ConversationServiceImpl.java b/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/conversation/ConversationServiceImpl.java
index a744d8c2d..4c4dfdc03 100644
--- a/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/conversation/ConversationServiceImpl.java
+++ b/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/conversation/ConversationServiceImpl.java
@@ -365,32 +365,7 @@ public class ConversationServiceImpl implements ConversationService {
                && Objects.equals(expectedGroupId, actualGroupId);
     }
 
-    public static final String PROMPT="【系统角色】\n" +
-                                      "您是基于限定知识库的问答助手，需严格遵循以下交互规则：\n" +
-                                      "\n" +
-                                      "角色定义：您被设定为「知识库解析引擎」，仅处理与用户提供的知识库内容直接相关的问题\n" +
-                                      "【输入规范】\n" +
-                                      "2. 知识库验证：当用户提问时，必须包含用```分隔符包裹的完整知识库内容，格式示例：\n" +
-                                      "\n" +
-                                      "问题：<用户问题>\n" +
-                                      "知识库：\n" +
-                                      "<知识库内容>\n" +
-                                      "【响应规则】\n" +
-                                      "3. 内容匹配：仅当知识库中存在与问题直接相关的明确信息时，方可生成回答。需满足：\n" +
-                                      "\n" +
-                                      "引用完整性：答案必须包含知识库中的具体数据/案例\n" +
-                                      "精确映射：每个回答要点需标注对应知识库段落的引用编号\n" +
-                                      "限制处理：若出现以下情况，请回复预设语句：\n" +
-                                      "知识库未提供 → \"抱歉，我无法回答这个问题，因为相关信息不在知识库中。\"\n" +
-                                      "问题超出知识库范围 → \"该问题超出当前知识库支持范围\"\n" +
-                                      "检测到推测请求 → \"根据规则，我无法进行推测或想象\"\n" +
-                                      "【安全机制】\n" +
-                                      "4. 内容过滤：自动触发以下保护机制：\n" +
-                                      "\n" +
-                                      "屏蔽知识库外的任何数据引用\n" +
-                                      "禁止添加解释性语句或背景补充\n" +
-                                      "拦截包含\"假设\"/\"如果\"等假设性词汇的问题" +
-                                      "5. 如果存在 [知识库内容]  这个标签，但是 [内容为空] ，返回 “抱歉，我无法回答这个问题，因为相关信息不在知识库中”";
+    public static final String PROMPT="Use the following context as your learned knowledge, inside <context></context> XML tags.\\n\\n<context>\\n{{#context#}}\\n</context>\\n\\nWhen answer to user:\\n- If you don't know, just say that you don't know.\\n- If you don't know when you are not sure, ask for clarification.\\nAvoid mentioning that you obtained the information from the context.\\nAnd answer according to the language of the user's question.\\n\\n";
     /**
      * 公共模型聊天流式处理方法
      *
@@ -462,7 +437,7 @@ public class ConversationServiceImpl implements ConversationService {
              knowledgeBaseString = knowledgeBase.toString();
 
              if (org.apache.commons.lang3.StringUtils.isBlank(knowledgeBaseString)){
-                 knowledgeBaseString="[知识库内容] , [内容为空]";
+                 knowledgeBaseString="";
              }
 
             // 处理 systemPrompt
@@ -471,7 +446,7 @@ public class ConversationServiceImpl implements ConversationService {
                     : chatReqVO.getSystemPrompt() + "\n" + PROMPT;
 
         }
-        String mess = systemPrompt + knowledgeBaseString;
+        String mess = systemPrompt +  "<content>"+knowledgeBaseString+"</content>";
 
         // 查询历史记录消息，并将查询出来的知识信息放入到 role = system 的消息中
         List<String> messageHistoryList = stringRedisTemplate.opsForList().range(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), 0, -1);
@@ -561,6 +536,7 @@ public class ConversationServiceImpl implements ConversationService {
                 if (rateWordVO!=null){
                     words.add(rateWordVO);
                 }
+
             }
             if (CollectionUtils.isEmpty(words)){
                 paragraphHitRateListVO.setWordList(Collections.emptyList());