diff --git a/AI/WxMini/Milvus/T1_create_collection.py b/AI/WxMini/Milvus/T1_create_collection.py
index 3e3fdce8..2921fa96 100644
--- a/AI/WxMini/Milvus/T1_create_collection.py
+++ b/AI/WxMini/Milvus/T1_create_collection.py
@@ -1,4 +1,3 @@
-# pip install sentence-transformers
 from pymilvus import FieldSchema, DataType, utility
 
 from WxMini.Milvus.Config.MulvusConfig import *
diff --git a/AI/WxMini/Milvus/T3_insert_data.py b/AI/WxMini/Milvus/T3_insert_data.py
index ad181a6a..7a5f7a77 100644
--- a/AI/WxMini/Milvus/T3_insert_data.py
+++ b/AI/WxMini/Milvus/T3_insert_data.py
@@ -2,7 +2,7 @@ from WxMini.Milvus.Config.MulvusConfig import *
 from WxMini.Milvus.Utils.MilvusCollectionManager import MilvusCollectionManager
 from WxMini.Milvus.Utils.MilvusConnectionPool import *
 from gensim.models import KeyedVectors
-import jieba  # 导入 jieba 分词库
+import jieba
 
 # 加载预训练的 Word2Vec 模型
 model_path = "D:/Tencent_AILab_ChineseEmbedding/Tencent_AILab_ChineseEmbedding.txt"  # 替换为你的 Word2Vec 模型路径
diff --git a/AI/WxMini/Milvus/T5_search_near_word.py b/AI/WxMini/Milvus/T5_search_near_word.py
index 9a23e515..d25057ae 100644
--- a/AI/WxMini/Milvus/T5_search_near_word.py
+++ b/AI/WxMini/Milvus/T5_search_near_word.py
@@ -1,4 +1,4 @@
-# pip install gensim jieba
+
 import time
 import jieba  # 导入 jieba 分词库
 from WxMini.Milvus.Utils.MilvusCollectionManager import MilvusCollectionManager
diff --git a/AI/WxMini/Milvus/requirements.txt b/AI/WxMini/Milvus/requirements.txt
new file mode 100644
index 00000000..fcbf59ed
--- /dev/null
+++ b/AI/WxMini/Milvus/requirements.txt
@@ -0,0 +1,7 @@
+# 基础依赖
+gensim==4.3.3
+jieba==0.42.1
+pymilvus==2.5.6
+
+
+
diff --git a/AI/WxMini/安装.txt b/AI/WxMini/安装.txt
index fbd1afab..079e3be5 100644
--- a/AI/WxMini/安装.txt
+++ b/AI/WxMini/安装.txt
@@ -1 +1,5 @@
-# 腾讯 AI Lab 的中文词向量
\ No newline at end of file
+# 腾讯 AI Lab 的中文词向量
+
+pip show gensim
+pip show jieba
+pip show pymilvus
\ No newline at end of file