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 c991b97..5ce5872 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
@@ -486,11 +486,12 @@ async fn execute_vertex_ai_search(
     });
 
     // 添加相关性阈值和评分规范（参考Python实现）
+    // 暂时使用较低的阈值来获取更多结果
     let threshold_str = match request.config.relevance_threshold {
         crate::data::models::outfit_search::RelevanceThreshold::Lowest => "LOWEST",
-        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::Low => "LOWEST", // 降低阈值
+        crate::data::models::outfit_search::RelevanceThreshold::Medium => "LOW", // 降低阈值
+        crate::data::models::outfit_search::RelevanceThreshold::High => "MEDIUM", // 降低阈值
     };
     payload["relevanceThreshold"] = serde_json::Value::String(threshold_str.to_owned());
     payload["relevanceScoreSpec"] = serde_json::json!({
@@ -691,6 +692,20 @@ fn convert_vertex_response_to_search_results(
         }
     } else {
         eprintln!("响应中没有找到 results 数组");
+        eprintln!("可能的原因：");
+        eprintln!("1. 数据存储中没有匹配的数据");
+        eprintln!("2. 过滤器条件过于严格");
+        eprintln!("3. 相关性阈值过高");
+        eprintln!("4. 查询词与数据不匹配");
+
+        // 检查响应中的其他字段
+        if let Some(summary) = vertex_response.get("summary") {
+            eprintln!("API 返回的摘要信息：{}", serde_json::to_string_pretty(summary).unwrap_or_else(|_| "无法解析".to_string()));
+        }
+
+        if let Some(query_expansion) = vertex_response.get("queryExpansionInfo") {
+            eprintln!("查询扩展信息：{}", serde_json::to_string_pretty(query_expansion).unwrap_or_else(|_| "无法解析".to_string()));
+        }
     }
 
     eprintln!("最终返回 {} 个过滤后的结果", results.len());
@@ -916,16 +931,7 @@ pub fn get_outfit_search_command_names() -> Vec<&'static str> {
 fn build_simple_filters(config: &crate::data::models::outfit_search::SearchConfig) -> String {
     let mut filters = Vec::new();
 
-    // 环境标签过滤
-    if !config.environments.is_empty() {
-        let env_filter = config.environments.iter()
-            .map(|env| format!("\"{}\"", env))
-            .collect::<Vec<_>>()
-            .join(",");
-        filters.push(format!("environment_tags: ANY({})", env_filter));
-    }
-
-    // 类别过滤
+    // 优先使用类别过滤（最重要的过滤条件）
     if !config.categories.is_empty() {
         let cat_filter = config.categories.iter()
             .map(|cat| format!("\"{}\"", cat))
@@ -934,6 +940,15 @@ fn build_simple_filters(config: &crate::data::models::outfit_search::SearchConfi
         filters.push(format!("products.category: ANY({})", cat_filter));
     }
 
+    // 如果没有类别过滤，尝试环境标签
+    if filters.is_empty() && !config.environments.is_empty() {
+        let env_filter = config.environments.iter()
+            .map(|env| format!("\"{}\"", env))
+            .collect::<Vec<_>>()
+            .join(",");
+        filters.push(format!("environment_tags: ANY({})", env_filter));
+    }
+
     filters.join(" AND ")
 }