refactor(retrieval-method): replace all instances of invertedIndex with keyword_search in components and translations

web/app/components/datasets/common/economical-retrieval-method-config/index.tsx

@@ -28,8 +28,8 @@ const EconomicalRetrievalMethodConfig: FC<Props> = ({
       disabled={disabled}
       icon={<VectorSearch className='size-4' />}
       iconActiveColor='text-util-colors-purple-purple-600'
-      title={t('dataset.retrieval.invertedIndex.title')}
+      title={t('dataset.retrieval.keyword_search.title')}
-      description={t('dataset.retrieval.invertedIndex.description')}
+      description={t('dataset.retrieval.keyword_search.description')}
       isActive
       effectColor={EffectColor.purple}
       showEffectColor

web/app/components/datasets/create/embedding-process/index.tsx

@@ -102,7 +102,6 @@ const RuleDetail: FC<{
         break
     }
     return value
-    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [sourceData])
 
   return <div className='flex flex-col gap-1'>
@@ -131,7 +130,7 @@ const RuleDetail: FC<{
     <FieldInfo
       label={t('datasetSettings.form.retrievalSetting.title')}
       // displayedValue={t(`datasetSettings.form.retrievalSetting.${retrievalMethod}`) as string}
-      displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'invertedIndex' : retrievalMethod}.title`) as string}
+      displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'keyword_search' : retrievalMethod}.title`) as string}
       valueIcon={
         <Image
           className='size-4'
@@ -197,7 +196,6 @@ const EmbeddingProcess: FC<Props> = ({ datasetId, batchId, documents = [], index
     return () => {
       stopQueryStatus()
     }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [])
 
   // get rule

web/app/components/datasets/documents/create-from-pipeline/processing/embedding-process/rule-detail.tsx

@@ -105,7 +105,7 @@ const RuleDetail = ({
       />
       <FieldInfo
         label={t('datasetSettings.form.retrievalSetting.title')}
-        displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'invertedIndex' : retrievalMethod}.title`) as string}
+        displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'keyword_search' : retrievalMethod}.title`) as string}
         valueIcon={
           <Image
             className='size-4'

web/app/components/datasets/documents/detail/embedding/index.tsx

@@ -131,7 +131,7 @@ const RuleDetail: FC<IRuleDetailProps> = React.memo(({
     />
     <FieldInfo
       label={t('datasetSettings.form.retrievalSetting.title')}
-      displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'invertedIndex' : retrievalMethod}.title`) as string}
+      displayedValue={t(`dataset.retrieval.${indexingType === IndexingType.ECONOMICAL ? 'keyword_search' : retrievalMethod}.title`) as string}
       valueIcon={
         <Image
           className='size-4'

web/app/components/workflow/nodes/knowledge-base/components/retrieval-setting/hooks.tsx

@@ -48,8 +48,8 @@ export const useRetrievalSetting = (indexMethod?: IndexMethodEnum) => {
     return {
       id: RetrievalSearchMethodEnum.keywordSearch,
       icon: HybridSearch as any,
-      title: t('dataset.retrieval.invertedIndex.title'),
+      title: t('dataset.retrieval.keyword_search.title'),
-      description: t('dataset.retrieval.invertedIndex.description'),
+      description: t('dataset.retrieval.keyword_search.description'),
       effectColor: 'purple',
     }
   }, [t])

web/i18n/en-US/dataset.ts

@@ -126,7 +126,7 @@ const translation = {
       description: 'Execute full-text search and vector searches simultaneously, re-rank to select the best match for the user\'s query. Users can choose to set weights or configure to a Rerank model.',
       recommend: 'Recommend',
     },
-    invertedIndex: {
+    keyword_search: {
       title: 'Inverted Index',
       description: 'Inverted Index is a structure used for efficient retrieval. Organized by terms, each term points to documents or web pages containing it.',
     },

web/i18n/zh-Hans/dataset.ts

@@ -126,7 +126,7 @@ const translation = {
       description: '同时执行全文检索和向量检索，并应用重排序步骤，从两类查询结果中选择匹配用户问题的最佳结果，用户可以选择设置权重或配置重新排序模型。',
       recommend: '推荐',
     },
-    invertedIndex: {
+    keyword_search: {
       title: '倒排索引',
       description: '倒排索引是一种用于高效检索的结构。按术语组织，每个术语指向包含它的文档或网页',
     },