diff --git a/bin/main.go b/bin/main.go
index 8eb4bdc..991f356 100644
--- a/bin/main.go
+++ b/bin/main.go
@@ -84,9 +84,10 @@ func (image *Image) GetSimilarImagesIdList(collection_name string) (ids []int64)
 	// TODO: 处理图片不存在的情况(404)
 
 	// 用向量查询相似图片
+	topk := 1000
 	sp, _ := entity.NewIndexIvfFlatSearchParam(64)
 	vectors := []entity.Vector{entity.FloatVector(embedding)}
-	resultx, err := milvusConnection.Client.Search(ctx, collection_name, nil, "", []string{"id", "article_id"}, vectors, "embedding", entity.L2, 10, sp)
+	resultx, err := milvusConnection.Client.Search(ctx, collection_name, nil, "", []string{"id", "article_id"}, vectors, "embedding", entity.L2, topk, sp)
 	if err != nil {
 		log.Println("Milvus search failed:", err)
 		return
@@ -148,17 +149,13 @@ func main() {
 		}
 		var ids []int64
 		if similar := QueryConditions("similar"); len(similar) > 0 {
-			// 避免报错: strconv.Atoi failed: strconv.Atoi: parsing "'8888'": invalid syntax
 			id, err := strconv.Atoi(strings.Trim(similar[0], "'"))
 			if err != nil {
 				log.Println("strconv.Atoi failed:", err)
 				return
 			}
-			fmt.Println("id:", id)
-
 			// 如果指定以某个图片为基准的相似图片列表范围, 获取相似图片ID的列表
 			ids = (&Image{Id: id}).GetSimilarImagesIdList("default")
-			fmt.Println("ids:", ids)
 			idsStr := make([]string, len(ids))
 			for i, v := range ids {
 				idsStr[i] = strconv.FormatInt(v, 10)
@@ -170,12 +167,8 @@ func main() {
 		if conditions != "" {
 			conditions = strings.Replace(conditions, " AND", "", 1) // 去掉第一个 AND
 			conditions = " WHERE" + conditions                      // 拼接 WHERE
-			fmt.Println(conditions)                                 // 打印查询条件
 		}
 
-		// 打印查询语句
-		fmt.Println("SELECT id, width, height, content, update_time, create_time FROM web_images" + conditions + " LIMIT ?, ?")
-
 		// 获取图片列表
 		var images ListView
 		var image_list []Image
@@ -198,7 +191,6 @@ func main() {
 
 		// 如果使用了相似图片列表范围, 需要按照相似图片ID原本的顺序重新排序, 需要注意的是, 相似图片ID列表中可能会包含不在当前页的图片ID
 		if similar := QueryConditions("similar"); len(similar) > 0 {
-			// 用于存储排序后的图片列表
 			var image_list_sorted []Image
 			for _, id := range ids {
 				for _, image := range image_list {
@@ -239,111 +231,6 @@ func main() {
 
 	})
 
-	// 获取相似图片列表
-	http.HandleFunc("/similar", func(w http.ResponseWriter, r *http.Request) {
-		defer LogComponent(time.Now().UnixNano(), r) // 最后打印日志
-
-		var collection_name = "default"   // 图片集合名称
-		var image Image = Image{Id: 8888} // 图片对象
-
-		ids := image.GetSimilarImagesIdList(collection_name)
-
-		var listview ListView
-
-		// 是否有下一页
-		listview.Total = 10
-		listview.Next = false
-		listview.Page = 1
-		listview.PageSize = 10
-
-		// 获取一组ID对应的图片数据
-		ids_str := strings.Trim(strings.Replace(fmt.Sprint(ids), " ", ",", -1), "[]")
-		println(ids_str)
-		rows, err := mysqlConnection.Database.Query("SELECT id, content, update_time, create_time, width, height FROM web_images WHERE id in (" + ids_str + ")")
-		if err != nil {
-			log.Println("SQL查询失败:", err.Error())
-			return
-		}
-		for rows.Next() {
-			var image Image
-			err := rows.Scan(&image.Id, &image.Content, &image.UpdateTime, &image.CreateTime, &image.Width, &image.Height)
-			if err != nil {
-				log.Println("SQL查询失败:", err.Error())
-				return
-			}
-			listview.List = append(listview.List, image)
-		}
-
-		// 将对象转换为有缩进的JSON输出
-		json, err := json.MarshalIndent(listview, "", "    ")
-		if err != nil {
-			log.Println(err)
-			return
-		}
-
-		// 输出JSON
-		w.Header().Set("Content-Type", "application/json")
-		w.Write(json)
-
-		//result, err := milvusConnection.Client.Query(
-		//	context.Background(),          // ctx
-		//	collection_name,               // CollectionName
-		//	nil,                           // PartitionName
-		//	fmt.Sprintf("id in [%s]", id), // expr
-		//	[]string{"id", "embedding", "article_id"}, // OutputFields
-		//)
-		//if err != nil {
-		//	log.Println(err)
-		//	return
-		//}
-		//// TODO: 不存在则重建向量
-		//var similar Similar
-		//for _, item := range result {
-		//	if item.Name() == "id" {
-		//		similar.Id = item.FieldData().GetScalars().GetLongData().GetData()[0]
-		//		continue
-		//	}
-		//	if item.Name() == "article_id" {
-		//		similar.ArticleId = item.FieldData().GetScalars().GetLongData().GetData()[0]
-		//		continue
-		//	}
-		//	if item.Name() == "embedding" {
-		//		similar.Embedding = item.FieldData().GetVectors().GetFloatVector().Data
-		//		continue
-		//	}
-		//}
-		//
-		//// 用向量查询相似图片
-		//sp, _ := entity.NewIndexIvfFlatSearchParam(64)
-		//vectors := []entity.Vector{
-		//	entity.FloatVector(similar.Embedding),
-		//}
-		//resultx, err := milvusConnection.Client.Search(
-		//	context.Background(),         // ctx
-		//	collection_name,              // CollectionName
-		//	nil,                          // PartitionNames
-		//	"",                           // expr
-		//	[]string{"id", "article_id"}, // OutputFields
-		//	vectors,                      // vectors
-		//	"embedding",                  // vectorField
-		//	entity.L2,                    // entity.MetricType
-		//	10,                           // topK
-		//	sp,                           // searchParam
-		//)
-		//if err != nil {
-		//	log.Println(err)
-		//	return
-		//}
-		//// 输出结果
-		//for _, item := range resultx {
-		//	fmt.Println(item.Scores)
-		//	fmt.Println(item.IDs)
-		//	fmt.Println(item.ResultCount)
-		//	fmt.Println(item.Fields)
-		//}
-
-	})
-
 	// 获取标签列表
 	http.HandleFunc("/tags", func(w http.ResponseWriter, r *http.Request) {
 		defer LogComponent(time.Now().UnixNano(), r) // 最后打印日志