From fd35f17ade9f7e24bca542c96328ecd1634f5461 Mon Sep 17 00:00:00 2001
From: 2829798842 <2829798842@qq.com>
Date: Wed, 28 May 2025 21:33:05 +0800
Subject: [PATCH] Update get_knowledge.py

---
 src/tools/tool_can_use/get_knowledge.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/tools/tool_can_use/get_knowledge.py b/src/tools/tool_can_use/get_knowledge.py
index df73b286..a364e6e1 100644
--- a/src/tools/tool_can_use/get_knowledge.py
+++ b/src/tools/tool_can_use/get_knowledge.py
@@ -42,14 +42,14 @@ class SearchKnowledgeTool(BaseTool):
             if embedding:
                 knowledge_info = self.get_info_from_db(embedding, limit=3, threshold=threshold)
                 if knowledge_info:
-                    content = f"You know this knowledge: {knowledge_info}"
+                    content = f"你知道这些知识: {knowledge_info}"
                 else:
-                    content = f"You don't know much about {query}"
+                    content = f"你不太了解有关{query}的知识"
                 return {"type": "knowledge", "id": query, "content": content}
-            return {"type": "info", "id": query, "content": f"Unable to get embedding vector for '{query}', knowledge base failed"}
+            return {"type": "info", "id": query, "content": f"无法获取关于'{query}'的嵌入向量，你知识库炸了"}
         except Exception as e:
-            logger.error(f"Knowledge base search tool execution failed: {str(e)}")
-            return {"type": "info", "id": query, "content": f"Knowledge base search failed: {str(e)}"}
+            logger.error(f"知识库搜索工具执行失败: {str(e)}")
+            return {"type": "info", "id": query, "content": f"知识库搜索失败，炸了: {str(e)}"}
 
     @staticmethod
     def _cosine_similarity(vec1: List[float], vec2: List[float]) -> float: