feat: update price table

web/app/components/billing/config.ts

@@ -16,6 +16,7 @@ export const ALL_PLANS: Record<Plan, PlanInfo> = {
     teamMembers: 1,
     buildApps: 10,
     vectorSpace: 5,
+    documentsUploadQuota: 20,
     documentProcessingPriority: Priority.standard,
     logHistory: 30,
     customTools: unAvailable,
@@ -32,6 +33,7 @@ export const ALL_PLANS: Record<Plan, PlanInfo> = {
     teamMembers: 3,
     buildApps: 50,
     vectorSpace: 200,
+    documentsUploadQuota: 500,
     documentProcessingPriority: Priority.priority,
     logHistory: NUM_INFINITE,
     customTools: 10,
@@ -48,6 +50,7 @@ export const ALL_PLANS: Record<Plan, PlanInfo> = {
     teamMembers: NUM_INFINITE,
     buildApps: NUM_INFINITE,
     vectorSpace: 1000,
+    documentsUploadQuota: 1000,
     documentProcessingPriority: Priority.topPriority,
     logHistory: NUM_INFINITE,
     customTools: NUM_INFINITE,
@@ -64,6 +67,7 @@ export const ALL_PLANS: Record<Plan, PlanInfo> = {
     teamMembers: NUM_INFINITE,
     buildApps: NUM_INFINITE,
     vectorSpace: NUM_INFINITE,
+    documentsUploadQuota: NUM_INFINITE,
     documentProcessingPriority: Priority.topPriority,
     logHistory: NUM_INFINITE,
     customTools: NUM_INFINITE,

web/app/components/billing/pricing/plan-item.tsx

@@ -129,6 +129,9 @@ const PlanItem: FC<Props> = ({
             <div className='mt-3.5 flex items-center space-x-1'>
               <div>+ {t('billing.plansCommon.supportItems.logoChange')}</div>
             </div>
+            <div className='mt-3.5 flex items-center space-x-1'>
+              <div>+ {t('billing.plansCommon.supportItems.bulkUpload')}</div>
+            </div>
             <div className='mt-3.5 flex items-center space-x-1'>
               <div className='flex items-center'>
                 +
@@ -264,6 +267,10 @@ const PlanItem: FC<Props> = ({
           value={planInfo.vectorSpace === NUM_INFINITE ? t('billing.plansCommon.unlimited') as string : (planInfo.vectorSpace >= 1000 ? `${planInfo.vectorSpace / 1000}G` : `${planInfo.vectorSpace}MB`)}
           tooltip={t('billing.plansCommon.vectorSpaceBillingTooltip') as string}
         />
+        <KeyValue
+          label={t('billing.plansCommon.documentsUploadQuota')}
+          value={planInfo.vectorSpace === NUM_INFINITE ? t('billing.plansCommon.unlimited') as string : planInfo.documentsUploadQuota}
+        />
         <KeyValue
           label={t('billing.plansCommon.documentProcessingPriority')}
           value={t(`billing.plansCommon.priority.${planInfo.documentProcessingPriority}`) as string}

web/app/components/billing/type.ts

@@ -17,6 +17,7 @@ export type PlanInfo = {
   teamMembers: number
   buildApps: number
   vectorSpace: number
+  documentsUploadQuota: number
   documentProcessingPriority: Priority
   logHistory: number
   customTools: string | number

web/i18n/lang/billing.en.ts

@@ -32,6 +32,7 @@ const translation = {
     vectorSpace: 'Vector Space',
     vectorSpaceBillingTooltip: 'Each 1MB can store about 1.2million characters of vectorized data(estimated using OpenAI Embeddings, varies across models).',
     vectorSpaceTooltip: 'Vector Space is the long-term memory system required for LLMs  to comprehend your data.',
+    documentsUploadQuota: 'Documents Upload Quota',
     documentProcessingPriority: 'Document Processing Priority',
     documentProcessingPriorityTip: 'For higher document processing priority, please upgrade your plan.',
     documentProcessingPriorityUpgrade: 'Process more data with higher accuracy at faster speeds.',
@@ -56,6 +57,7 @@ const translation = {
       dedicatedAPISupport: 'Dedicated API support',
       customIntegration: 'Custom integration and support',
       ragAPIRequest: 'RAG API Requests',
+      bulkUpload: 'Bulk upload documents',
       agentMode: 'Agent Mode',
       workflow: 'Workflow',
     },

web/i18n/lang/billing.zh.ts

@@ -32,6 +32,7 @@ const translation = {
     vectorSpace: '向量空间',
     vectorSpaceTooltip: '向量空间是 LLMs 理解您的数据所需的长期记忆系统。',
     vectorSpaceBillingTooltip: '向量存储是将知识库向量化处理后为让 LLMs 理解数据而使用的长期记忆存储，1MB 大约能满足1.2 million character 的向量化后数据存储（以 OpenAI Embedding 模型估算，不同模型计算方式有差异）。在向量化过程中，实际的压缩或尺寸减小取决于内容的复杂性和冗余性。',
+    documentsUploadQuota: '文档上传配额',
     documentProcessingPriority: '文档处理优先级',
     documentProcessingPriorityTip: '如需更高的文档处理优先级，请升级您的套餐',
     documentProcessingPriorityUpgrade: '以更快的速度、更高的精度处理更多的数据。',
@@ -56,6 +57,7 @@ const translation = {
       dedicatedAPISupport: '专用 API 支持',
       customIntegration: '自定义集成和支持',
       ragAPIRequest: 'RAG API 请求',
+      bulkUpload: '批量上传文档',
       agentMode: '代理模式',
       workflow: '工作流',
     },