feat: 逻辑优化

src/components/common/settings/AI/RAGConfigTab.vue

@@ -26,7 +26,6 @@ const editingConfig = ref<EmbeddingServiceConfigDisplay | null>(null)
 const isLoading = computed(() => embeddingStore.isLoading)
 const configs = computed(() => embeddingStore.configs)
 const activeConfigId = computed(() => embeddingStore.activeConfigId)
-const enabled = computed(() => embeddingStore.enabled)
 const hasConfig = computed(() => embeddingStore.hasConfig)
 const isMaxConfigs = computed(() => embeddingStore.isMaxConfigs)
 const vectorStoreStats = computed(() => embeddingStore.vectorStoreStats)
@@ -51,12 +50,6 @@ async function handleSaved() {
   emit('config-changed')
 }
 
-async function handleToggleEnabled() {
-  const newValue = !enabled.value
-  await embeddingStore.setEnabled(newValue)
-  emit('config-changed')
-}
-
 async function handleSetActive(id: string) {
   await embeddingStore.setActiveConfig(id)
   emit('config-changed')
@@ -90,14 +83,11 @@ onMounted(() => {
 
   <!-- 配置内容 -->
   <div v-else class="space-y-6">
-    <!-- 标题和启用开关 -->
-    <div class="flex items-center justify-between">
-      <h4 class="flex items-center gap-2 text-sm font-semibold text-gray-900 dark:text-white">
-        <UIcon name="i-heroicons-magnifying-glass-circle" class="h-4 w-4 text-emerald-500" />
-        {{ t('settings.embedding.title') }}
-      </h4>
-      <USwitch :model-value="enabled" @update:model-value="handleToggleEnabled" />
-    </div>
+    <!-- 标题 -->
+    <h4 class="flex items-center gap-2 text-sm font-semibold text-gray-900 dark:text-white">
+      <UIcon name="i-heroicons-magnifying-glass-circle" class="h-4 w-4 text-emerald-500" />
+      {{ t('settings.embedding.title') }}
+    </h4>
 
     <p class="text-xs text-gray-500 dark:text-gray-400">
       {{ t('settings.embedding.description') }}

src/i18n/locales/en-US/settings.json

@@ -3,8 +3,8 @@
   "tabs": {
     "basic": "General",
     "ai": "AI Settings",
-    "aiConfig": "AI Models",
-    "aiRAG": "Semantic Search",
+    "aiConfig": "Chat Model",
+    "aiRAG": "Vector Model",
     "aiPrompt": "Chat Config",
     "aiPreset": "Prompts",
     "storage": "Data & Storage",
@@ -47,7 +47,7 @@
     }
   },
   "aiConfig": {
-    "title": "Model Configuration",
+    "title": "Chat Model",
     "loading": "Loading...",
     "inUse": "Active",
     "defaultModel": "Default Model",
@@ -211,8 +211,8 @@
     }
   },
   "embedding": {
-    "title": "Semantic Search",
-    "description": "Uses embedding vectors to understand question meaning, suitable for analyzing relationships, emotions, and abstract topics",
+    "title": "Vector Model",
+    "description": "Uses embedding vectors to understand question meaning, enables AI to perform semantic search",
     "configList": "Embedding Configs",
     "addConfig": "Add Config",
     "editConfig": "Edit Config",
@@ -223,8 +223,8 @@
     "configName": "Config Name",
     "configNamePlaceholder": "e.g. Ollama Embedding",
     "apiSource": "API Source",
-    "apiSourceHint": "\"Reuse AI Config\" will use the endpoint and key from the active AI model config",
-    "reuseLLM": "Reuse AI Config",
+    "apiSourceHint": "\"Reuse Chat Model\" will use the endpoint and key from the active chat model",
+    "reuseLLM": "Reuse Chat Model",
     "customAPI": "Custom API",
     "model": "Model Name",
     "modelPlaceholder": "e.g. nomic-embed-text",

src/i18n/locales/zh-CN/settings.json

@@ -3,8 +3,8 @@
   "tabs": {
     "basic": "基础设置",
     "ai": "AI 设置",
-    "aiConfig": "模型配置",
-    "aiRAG": "语义搜索",
+    "aiConfig": "对话模型",
+    "aiRAG": "向量模型",
     "aiPrompt": "对话配置",
     "aiPreset": "提示词配置",
     "storage": "数据和存储",
@@ -47,7 +47,7 @@
     }
   },
   "aiConfig": {
-    "title": "模型配置",
+    "title": "对话模型",
     "loading": "加载中...",
     "inUse": "使用中",
     "defaultModel": "默认模型",
@@ -211,8 +211,8 @@
     }
   },
   "embedding": {
-    "title": "语义搜索",
-    "description": "通过 Embedding 向量相似度理解问题含义，适合分析关系、情感、抽象话题等场景",
+    "title": "向量模型",
+    "description": "通过 Embedding 向量相似度理解问题含义，启用后 AI 可进行语义搜索",
     "configList": "Embedding 配置",
     "addConfig": "添加配置",
     "editConfig": "编辑配置",
@@ -223,8 +223,8 @@
     "configName": "配置名称",
     "configNamePlaceholder": "如：Ollama Embedding",
     "apiSource": "API 来源",
-    "apiSourceHint": "「复用 AI 配置」将使用当前激活的 AI 模型配置的端点和密钥",
-    "reuseLLM": "复用 AI 配置",
+    "apiSourceHint": "「复用对话模型」将使用当前激活的对话模型的端点和密钥",
+    "reuseLLM": "复用对话模型",
     "customAPI": "自定义 API",
     "model": "模型名称",
     "modelPlaceholder": "如 nomic-embed-text",

src/stores/embedding.ts

@@ -15,9 +15,6 @@ export const useEmbeddingStore = defineStore('embedding', () => {
   /** 当前激活配置 ID */
   const activeConfigId = ref<string | null>(null)
 
-  /** 是否启用语义搜索 */
-  const enabled = ref(false)
-
   /** 是否正在加载 */
   const isLoading = ref(false)
 
@@ -77,7 +74,6 @@ export const useEmbeddingStore = defineStore('embedding', () => {
       ])
       configs.value = configsData
       activeConfigId.value = activeId
-      enabled.value = isEnabled
       vectorStoreStats.value = stats
     } catch (error) {
       console.error('[Embedding Store] 加载配置失败：', error)
@@ -86,23 +82,6 @@ export const useEmbeddingStore = defineStore('embedding', () => {
     }
   }
 
-  /**
-   * 设置语义搜索启用状态
-   */
-  async function setEnabled(value: boolean): Promise<boolean> {
-    try {
-      const result = await window.embeddingApi.setEnabled(value)
-      if (result.success) {
-        enabled.value = value
-        return true
-      }
-      console.error('[Embedding Store] 设置启用状态失败：', result.error)
-      return false
-    } catch (error) {
-      console.error('[Embedding Store] 设置启用状态失败：', error)
-      return false
-    }
-  }
 
   /**
    * 切换激活配置
@@ -170,7 +149,6 @@ export const useEmbeddingStore = defineStore('embedding', () => {
     // 状态
     configs,
     activeConfigId,
-    enabled,
     isLoading,
     isInitialized,
     vectorStoreStats,
@@ -182,7 +160,6 @@ export const useEmbeddingStore = defineStore('embedding', () => {
     // 方法
     init,
     loadConfigs,
-    setEnabled,
     setActiveConfig,
     deleteConfig,
     clearVectorStore,