diff --git a/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py b/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
index f0381f5..d697cff 100644
--- a/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
+++ b/ruoyi-fastapi-backend/module_admin/controller/ragflow_controller.py
@@ -23,6 +23,12 @@ from module_admin.entity.vo.ragflow_vo import (
 from utils.log_util import logger
 from utils.response_util import ResponseUtil
 from utils.semantic_cache_service import get_semantic_cache_service, lookup_question, store_qa_pair
+
+def _get_question_hash(question: str) -> str:
+    """计算问题的hash值"""
+    import hashlib
+    normalized = question.lower().strip()
+    return hashlib.md5(normalized.encode('utf-8')).hexdigest()[:16]
 from utils.static_qa_service import get_static_qa_service
 
 
@@ -30,6 +36,8 @@ async def _async_store_qa(chat_id: str, question: str, answer: str, redis) -> No
     """
     异步存储问答对到语义缓存
     """
+    store_hash = _get_question_hash(question)
+    logger.info(f"[SemanticCache] 存储QA | chat_id={chat_id} | question={question} | hash={store_hash} | answer_length={len(answer)}")
     try:
         await store_qa_pair(chat_id, question, answer, redis)
     except Exception as e:
@@ -155,7 +163,8 @@ async def converse_with_chat_assistant(
     
     # ========== 2. RAG历史缓存查找 ==========
     if redis:
-        logger.info(f'[SemanticCache] 开始查找 | chat_id={converse_params.chat_id} | question={converse_params.question} | threshold=0.60')
+        lookup_hash = _get_question_hash(converse_params.question)
+        logger.info(f'[SemanticCache] 开始查找 | chat_id={converse_params.chat_id} | question={converse_params.question} | hash={lookup_hash} | threshold=0.60')
         cache_result = await lookup_question(
             converse_params.chat_id, 
             converse_params.question, 
@@ -220,6 +229,8 @@ async def converse_with_chat_assistant(
         if converse_params.stream:
             # 注意：存储时使用清理后的问题（与查找时保持一致）
             cache_question = cleaned_question if style_removed else converse_params.question
+            store_hash = _get_question_hash(cache_question)
+            logger.info(f'[RAG_CACHE] 准备存储 | chat_id={converse_params.chat_id} | question={cache_question} | hash={store_hash}')
             
             # 创建缓存存储回调函数
             async def make_cache_store(chat_id: str, question: str):