diff --git a/apps/desktop/src-tauri/src/presentation/commands/outfit_search_commands.rs b/apps/desktop/src-tauri/src/presentation/commands/outfit_search_commands.rs
index 85c9e98..956a573 100644
--- a/apps/desktop/src-tauri/src/presentation/commands/outfit_search_commands.rs
+++ b/apps/desktop/src-tauri/src/presentation/commands/outfit_search_commands.rs
@@ -5,7 +5,7 @@ use crate::app_state::AppState;
 use crate::data::models::gemini_analysis::{AnalyzeImageRequest, AnalyzeImageResponse};
 use crate::data::models::outfit_search::{
     LLMQueryRequest, LLMQueryResponse, OutfitSearchGlobalConfig, ProductInfo, SearchFilterBuilder,
-    SearchRequest, SearchResponse, SearchResult, SearchConfig,
+    SearchRequest, SearchResponse, SearchResult,
 };
 use crate::data::models::outfit_recommendation::{
     OutfitRecommendationRequest, OutfitRecommendationResponse,
@@ -491,9 +491,8 @@ async fn execute_vertex_ai_search(
         crate::data::models::outfit_search::RelevanceThreshold::Low => "LOW",
         crate::data::models::outfit_search::RelevanceThreshold::Medium => "MEDIUM",
         crate::data::models::outfit_search::RelevanceThreshold::High => "HIGH",
-        crate::data::models::outfit_search::RelevanceThreshold::Unspecified => "RELEVANCE_THRESHOLD_UNSPECIFIED",
     };
-    payload["relevanceThreshold"] = serde_json::Value::String(threshold_str.to_string());
+    payload["relevanceThreshold"] = serde_json::Value::String(threshold_str.to_owned());
     payload["relevanceScoreSpec"] = serde_json::json!({
         "returnRelevanceScore": true
     });
@@ -655,7 +654,7 @@ async fn get_google_access_token() -> Result<String, anyhow::Error> {
 /// 将 Vertex AI Search 响应转换为我们的搜索结果格式
 fn convert_vertex_response_to_search_results(
     vertex_response: &serde_json::Value,
-    request: &SearchRequest,
+    _request: &SearchRequest,
 ) -> Result<SearchResponse, anyhow::Error> {
     let mut results = Vec::new();
 
@@ -670,8 +669,8 @@ fn convert_vertex_response_to_search_results(
                     search_result.id, search_result.relevance_score
                 );
 
-                // 应用相关性阈值过滤
-                let threshold = request.config.relevance_threshold.to_value();
+                // 应用相关性阈值过滤（暂时跳过，直接添加结果）
+                // let _threshold = request.config.relevance_threshold;
                 results.push(search_result);
             } else {
                 eprintln!("解析搜索结果失败");
@@ -901,7 +900,7 @@ pub fn get_outfit_search_command_names() -> Vec<&'static str> {
 }
 
 /// 构建简化的过滤器字符串 - 参考Python实现
-fn build_simple_filters(config: &SearchConfig) -> String {
+fn build_simple_filters(config: &crate::data::models::outfit_search::SearchConfig) -> String {
     let mut filters = Vec::new();
 
     // 环境标签过滤
@@ -926,7 +925,7 @@ fn build_simple_filters(config: &SearchConfig) -> String {
 }
 
 /// 构建简化的查询字符串 - 参考Python实现
-fn build_simple_query(base_query: &str, config: &SearchConfig) -> String {
+fn build_simple_query(base_query: &str, config: &crate::data::models::outfit_search::SearchConfig) -> String {
     if !config.query_enhancement_enabled {
         return base_query.to_string();
     }