diff --git a/pages/popup.html b/pages/popup.html
index a41db31..cefe1a1 100644
--- a/pages/popup.html
+++ b/pages/popup.html
@@ -43,7 +43,6 @@
     </div>
     <div id="tabContentAi" class="tab-content">
       <div id="llmResultContainer" class="llm-result-container">
-        <div class="llm-title">智能助手答案</div>
         <div class="llm-result-content" id="llmResultContent"></div>
         <div class="llm-input-bar">
           <input id="llmInput" type="text" placeholder="请输入您的问题..." />
diff --git a/pages/popup.js b/pages/popup.js
index f26315e..bc7879b 100644
--- a/pages/popup.js
+++ b/pages/popup.js
@@ -286,7 +286,7 @@ document.addEventListener("DOMContentLoaded", async () => {
                   // 实时渲染，思考内容和正式回答分区块
                   msgBox.innerHTML =
                       (thinkStr
-                          ? `<div class="llm-think">模型思考过程：${thinkStr}</div>`
+                          ? `<div class="llm-think">${thinkStr}</div>`
                           : "") +
                       `<span class="assistant-label">智能助手：</span>${answerStr}`;
                   llmResultContent.scrollTop = llmResultContent.scrollHeight;
@@ -405,8 +405,8 @@ document.addEventListener("DOMContentLoaded", async () => {
     });
   }
 
-  async function fetchResults(keywords, page) {
-    log("执行搜索：", keywords, "page:", page);
+  async function fetchResults(rawInput, page) {
+    log("执行搜索：", rawInput, "page:", page);
 
     if (!token) {
       log("token 未初始化，跳转 login");
@@ -415,9 +415,9 @@ document.addEventListener("DOMContentLoaded", async () => {
     }
 
     currentPage = page;
-    lastKeywords = keywords;
+    lastKeywords = rawInput;
 
-    const keywordGroups = keywords.map(k => [k]);
+    const keywordGroups = parseKeywordGroups(rawInput);
     const requestBody = {
       keywordGroups,
       page: currentPage,
@@ -479,21 +479,41 @@ document.addEventListener("DOMContentLoaded", async () => {
     }
   }
 
+  function parseKeywordGroups(inputStr) {
+    if (typeof inputStr !== "string") return [];
+
+    return inputStr
+        .trim()
+        .split("||")  // 用 || 分组（表示 OR）
+        .map(group => {
+          group = group.trim();
+          if (group.startsWith("(") && group.endsWith(")")) {
+            group = group.slice(1, -1);  // 去括号
+          }
+          return group.split(/\s+/).filter(Boolean);  // 空格分词（AND）
+        })
+        .filter(g => g.length > 0);
+  }
+
+
+
   function triggerSearch() {
     if (!token) {
       log("triggerSearch 中 token 丢失，取消搜索");
       return;
     }
-    const val = input.value.trim();
-    if (!val) return clearResults();
-    const keywords = val.split(/\s+/);
-    updateHistory(val);
+
+    const raw = input?.value?.trim();
+    if (!raw) return clearResults();
+
+    updateHistory(raw);
 
     // 并发触发 AnythingLLM + ES
-    fetchLLMAnswer(val);
-    fetchResults(keywords, 1);
+    fetchLLMAnswer(raw);
+    fetchResults(raw, 1);  // 传字符串，不是 keywords[]
   }
 
+
   function bindEvents() {
     log("绑定事件成功");
     searchBtn.addEventListener("click", triggerSearch);