'commit'

dsRag/ElasticSearch/T6_XiangLiangQuery.py

@@ -1,8 +1,7 @@
-import os
 import logging
+import os
 from logging.handlers import RotatingFileHandler
 
-import jieba
 from gensim.models import KeyedVectors
 
 from Config.Config import ES_CONFIG, MS_MODEL_PATH, MS_MODEL_LIMIT

dsRag/Util/EsSearchUtil.py

@@ -16,7 +16,7 @@ class EsSearchUtil:
         )
 
     def text_to_embedding(self, text):
-        words = jieba.lcut(text)
+        # 当前实现为随机向量生成，后续可替换为实际模型
         vector = np.random.rand(200).tolist()
         return vector