diff --git a/apps/common/util/ts_vecto_util.py b/apps/common/util/ts_vecto_util.py
index b5d4de3fd..9def9585f 100644
--- a/apps/common/util/ts_vecto_util.py
+++ b/apps/common/util/ts_vecto_util.py
@@ -11,6 +11,7 @@ import uuid
 from typing import List
 
 import jieba
+import jieba.posseg
 from jieba import analyse
 
 from common.util.split_model import group_by
@@ -25,7 +26,9 @@ for jieba_word in jieba_word_list_cache:
 word_pattern_list = [r"v\d+.\d+.\d+",
                      r"[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}"]
 
-remove_chars = '\n , :\'<>！@#￥%……&*（）!@#$%^&*()： ；，/"./-'
+remove_chars = '\n , :\'<>！@#￥%……&*（）!@#$%^&*()： ；，/"./'
+
+jieba_remove_flag_list = ['x', 'w']
 
 
 def get_word_list(text: str):
@@ -82,8 +85,11 @@ def to_ts_vector(text: str):
     # 替换字符串
     text = replace_word(word_dict, text)
     # 分词
-    result = jieba.tokenize(text, mode='search')
-    result_ = [{'word': get_key_by_word_dict(item[0], word_dict), 'index': item[1]} for item in result]
+    result = jieba.posseg.lcut(text, HMM=True, use_paddle=True)
+    # 过滤标点符号
+    result = [item for item in result if not jieba_remove_flag_list.__contains__(item.flag)]
+    result_ = [{'word': get_key_by_word_dict(result[index].word, word_dict), 'index': index} for index in
+               range(len(result))]
     result_group = group_by(result_, lambda r: r['word'])
     return " ".join(
         [f"{key.lower()}:{','.join([str(item['index'] + 1) for item in result_group[key]][:20])}" for key in
diff --git a/apps/embedding/migrations/0002_embedding_search_vector.py b/apps/embedding/migrations/0002_embedding_search_vector.py
index 7d06d6046..c73a5a031 100644
--- a/apps/embedding/migrations/0002_embedding_search_vector.py
+++ b/apps/embedding/migrations/0002_embedding_search_vector.py
@@ -1,4 +1,5 @@
 # Generated by Django 4.1.13 on 2024-04-16 11:43
+import threading
 
 import django.contrib.postgres.search
 from django.db import migrations
@@ -44,6 +45,11 @@ def save_keywords(apps, schema_editor):
         print(e)
 
 
+def async_save_keywords(apps, schema_editor):
+    thread = threading.Thread(target=save_keywords, args=(apps, schema_editor))
+    thread.start()
+
+
 class Migration(migrations.Migration):
     dependencies = [
         ('embedding', '0001_initial'),
@@ -55,5 +61,5 @@ class Migration(migrations.Migration):
             name='search_vector',
             field=django.contrib.postgres.search.SearchVectorField(default='', verbose_name='分词'),
         ),
-        migrations.RunPython(save_keywords)
+        migrations.RunPython(async_save_keywords)
     ]