i18n

web/app/components/workflow/nodes/knowledge-base/components/chunk-structure/hooks.tsx

@@ -1,3 +1,4 @@
+import { useTranslation } from 'react-i18next'
 import {
   GeneralChunk,
   ParentChildChunk,
@@ -8,6 +9,7 @@ import { ChunkStructureEnum } from '../../types'
 import type { Option } from './type'
 
 export const useChunkStructure = () => {
+  const { t } = useTranslation()
   const GeneralOption: Option = {
     id: ChunkStructureEnum.general,
     icon: (isActive: boolean) => (
@@ -17,8 +19,8 @@ export const useChunkStructure = () => {
           isActive && 'text-util-colors-indigo-indigo-600',
         )} />
     ),
-    title: 'General',
+    title: t('datasetCreation.stepTwo.general'),
-    description: 'General text chunking mode, the chunks retrieved and recalled are the same.',
+    description: t('datasetCreation.stepTwo.generalTip'),
     effectColor: 'blue',
   }
   const ParentChildOption: Option = {
@@ -31,8 +33,8 @@ export const useChunkStructure = () => {
         )}
       />
     ),
-    title: 'Parent-Child',
+    title: t('datasetCreation.stepTwo.parentChild'),
-    description: 'Parent-child text chunking mode, the chunks retrieved and recalled are different.',
+    description: t('datasetCreation.stepTwo.parentChildTip'),
     effectColor: 'blue-light',
   }
   const QuestionAnswerOption: Option = {

web/app/components/workflow/nodes/knowledge-base/components/embedding-model.tsx

@@ -2,6 +2,7 @@ import {
   memo,
   useMemo,
 } from 'react'
+import { useTranslation } from 'react-i18next'
 import { Field } from '@/app/components/workflow/nodes/_base/components/layout'
 import ModelSelector from '@/app/components/header/account-setting/model-provider-page/model-selector'
 import { useModelListAndDefaultModel } from '@/app/components/header/account-setting/model-provider-page/hooks'
@@ -23,6 +24,7 @@ const EmbeddingModel = ({
   onEmbeddingModelChange,
   readonly = false,
 }: EmbeddingModelProps) => {
+  const { t } = useTranslation()
   const {
     modelList: embeddingModelList,
   } = useModelListAndDefaultModel(ModelTypeEnum.textEmbedding)
@@ -46,7 +48,7 @@ const handleRerankingModelChange = (model: DefaultModel) => {
   return (
     <Field
       fieldTitleProps={{
-        title: 'Embedding Model',
+        title: t('datasetSettings.form.embeddingModel'),
       }}
     >
       <ModelSelector

web/app/components/workflow/nodes/knowledge-base/components/index-method.tsx

@@ -52,7 +52,7 @@ const IndexMethod = ({
   return (
     <Field
       fieldTitleProps={{
-        title: 'Index method',
+        title: t('datasetCreation.stepTwo.indexMode'),
       }}
     >
       <div className='space-y-1'>

web/app/components/workflow/nodes/knowledge-base/components/option-card.tsx

@@ -3,6 +3,7 @@ import {
   memo,
   useMemo,
 } from 'react'
+import { useTranslation } from 'react-i18next'
 import cn from '@/utils/classnames'
 import Badge from '@/app/components/base/badge'
 import {
@@ -53,6 +54,7 @@ const OptionCard = memo(({
   onClick,
   readonly,
 }) => {
+  const { t } = useTranslation()
   const isActive = useMemo(() => {
     return id === selectedId
   }, [id, selectedId])
@@ -103,7 +105,7 @@ const OptionCard = memo(({
               {
                 isRecommended && (
                   <Badge className='ml-1 h-4 border-text-accent-secondary text-text-accent-secondary'>
-                    Recommend
+                    {t('datasetCreation.stepTwo.recommend')}
                   </Badge>
                 )
               }

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

@@ -1,4 +1,5 @@
 import { useMemo } from 'react'
+import { useTranslation } from 'react-i18next'
 import {
   FullTextSearch,
   HybridSearch,
@@ -15,57 +16,58 @@ import type {
 } from './type'
 
 export const useRetrievalSetting = (indexMethod: IndexMethodEnum) => {
+  const { t } = useTranslation()
   const VectorSearchOption: Option = useMemo(() => {
     return {
       id: RetrievalSearchMethodEnum.semantic,
       icon: VectorSearch as any,
-      title: 'Vector Search',
+      title: t('dataset.retrieval.semantic_search.title'),
-      description: 'Generate query embeddings and search for the text chunk most similar to its vector representation.',
+      description: t('dataset.retrieval.semantic_search.description'),
       effectColor: 'purple',
     }
-  }, [])
+  }, [t])
   const FullTextSearchOption: Option = useMemo(() => {
     return {
       id: RetrievalSearchMethodEnum.fullText,
       icon: FullTextSearch as any,
-      title: 'Full-Text Search',
+      title: t('dataset.retrieval.full_text_search.title'),
-      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.',
+      description: t('dataset.retrieval.full_text_search.description'),
       effectColor: 'purple',
     }
-  }, [])
+  }, [t])
   const HybridSearchOption: Option = useMemo(() => {
     return {
       id: RetrievalSearchMethodEnum.hybrid,
       icon: HybridSearch as any,
-      title: 'Hybrid Search',
+      title: t('dataset.retrieval.hybrid_search.title'),
-      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.',
+      description: t('dataset.retrieval.hybrid_search.description'),
       effectColor: 'purple',
     }
-  }, [])
+  }, [t])
   const InvertedIndexOption: Option = useMemo(() => {
     return {
       id: RetrievalSearchMethodEnum.invertedIndex,
       icon: HybridSearch as any,
-      title: 'Inverted Index',
+      title: t('dataset.retrieval.invertedIndex.title'),
-      description: 'Use inverted index to search for the most relevant text chunks.',
+      description: t('dataset.retrieval.invertedIndex.description'),
       effectColor: 'purple',
     }
-  }, [])
+  }, [t])
 
   const WeightedScoreModeOption: HybridSearchModeOption = useMemo(() => {
     return {
       id: HybridSearchModeEnum.WeightedScore,
-      title: 'Weighted Score',
+      title: t('dataset.weightedScore.title'),
-      description: 'By adjusting the weights assigned, this rerank strategy determines whether to prioritize semantic or keyword matching.',
+      description: t('dataset.weightedScore.description'),
     }
-  }, [])
+  }, [t])
   const RerankModelModeOption: HybridSearchModeOption = useMemo(() => {
     return {
       id: HybridSearchModeEnum.RerankingModel,
-      title: 'Rerank Model',
+      title: t('common.modelProvider.rerankModel.key'),
-      description: 'Rerank model will reorder the candidate document list based on the semantic match with user query, improving the results of semantic ranking.',
+      description: t('common.modelProvider.rerankModel.tip'),
     }
-  }, [])
+  }, [t])
 
   return useMemo(() => ({
     options: indexMethod === IndexMethodEnum.ECONOMICAL ? [

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

@@ -1,6 +1,7 @@
 import {
   memo,
 } from 'react'
+import { useTranslation } from 'react-i18next'
 import { Field } from '@/app/components/workflow/nodes/_base/components/layout'
 import type {
   HybridSearchModeEnum,
@@ -22,6 +23,8 @@ type RetrievalSettingProps = {
   onRetrievalSearchMethodChange: (value: RetrievalSearchMethodEnum) => void
   hybridSearchMode: HybridSearchModeEnum
   onHybridSearchModeChange: (value: HybridSearchModeEnum) => void
+  rerankingModelEnabled?: boolean
+  onRerankingModelEnabledChange?: (value: boolean) => void
   weightedScore?: WeightedScore
   onWeightedScoreChange: (value: { value: number[] }) => void
 } & RerankingModelSelectorProps & TopKAndScoreThresholdProps
@@ -35,6 +38,8 @@ const RetrievalSetting = ({
   onHybridSearchModeChange,
   weightedScore,
   onWeightedScoreChange,
+  rerankingModelEnabled,
+  onRerankingModelEnabledChange,
   rerankingModel,
   onRerankingModelChange,
   topK,
@@ -44,6 +49,7 @@ const RetrievalSetting = ({
   isScoreThresholdEnabled,
   onScoreThresholdEnabledChange,
 }: RetrievalSettingProps) => {
+  const { t } = useTranslation()
   const {
     options,
     hybridSearchModeOptions,
@@ -52,16 +58,10 @@ const RetrievalSetting = ({
   return (
     <Field
       fieldTitleProps={{
-        title: 'Retrieval Setting',
+        title: t('datasetSettings.form.retrievalSetting.title'),
         subTitle: (
           <div className='body-xs-regular flex items-center text-text-tertiary'>
-            <a
+            <a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
-              href=''
-              className='text-text-accent'
-              target='_blank'
-            >
-              Learn more
-            </a>
             &nbsp;
             about retrieval method.
           </div>
@@ -87,6 +87,8 @@ const RetrievalSetting = ({
               onScoreThresholdChange={onScoreThresholdChange}
               isScoreThresholdEnabled={isScoreThresholdEnabled}
               onScoreThresholdEnabledChange={onScoreThresholdEnabledChange}
+              rerankingModelEnabled={rerankingModelEnabled}
+              onRerankingModelEnabledChange={onRerankingModelEnabledChange}
               rerankingModel={rerankingModel}
               onRerankingModelChange={onRerankingModelChange}
               readonly={readonly}

web/app/components/workflow/nodes/knowledge-base/components/retrieval-setting/search-method-option.tsx

@@ -3,9 +3,12 @@ import {
   useCallback,
   useMemo,
 } from 'react'
+import { useTranslation } from 'react-i18next'
 import cn from '@/utils/classnames'
 import WeightedScoreComponent from '@/app/components/app/configuration/dataset-config/params-config/weighted-score'
 import { DEFAULT_WEIGHTED_SCORE } from '@/models/datasets'
+import Switch from '@/app/components/base/switch'
+import Tooltip from '@/app/components/base/tooltip'
 import {
   HybridSearchModeEnum,
   RetrievalSearchMethodEnum,
@@ -33,6 +36,8 @@ type SearchMethodOptionProps = {
   onHybridSearchModeChange: (value: HybridSearchModeEnum) => void
   weightedScore?: WeightedScore
   onWeightedScoreChange: (value: { value: number[] }) => void
+  rerankingModelEnabled?: boolean
+  onRerankingModelEnabledChange?: (value: boolean) => void
 } & RerankingModelSelectorProps & TopKAndScoreThresholdProps
 const SearchMethodOption = ({
   readonly,
@@ -44,6 +49,8 @@ const SearchMethodOption = ({
   onHybridSearchModeChange,
   weightedScore,
   onWeightedScoreChange,
+  rerankingModelEnabled,
+  onRerankingModelEnabledChange,
   rerankingModel,
   onRerankingModelChange,
   topK,
@@ -53,6 +60,7 @@ const SearchMethodOption = ({
   isScoreThresholdEnabled,
   onScoreThresholdEnabledChange,
 }: SearchMethodOptionProps) => {
+  const { t } = useTranslation()
   const Icon = option.icon
   const isHybridSearch = option.id === RetrievalSearchMethodEnum.hybrid
   const isHybridSearchWeightedScoreMode = hybridSearchMode === HybridSearchModeEnum.WeightedScore
@@ -82,6 +90,28 @@ const SearchMethodOption = ({
     return isActive ? 'border-[1.5px] bg-components-option-card-option-selected-bg' : ''
   }, [])
 
+  const showRerankModelSelectorSwitch = useMemo(() => {
+    if (searchMethod === RetrievalSearchMethodEnum.semantic)
+      return true
+
+    if (searchMethod === RetrievalSearchMethodEnum.fullText)
+      return true
+
+    return false
+  }, [searchMethod])
+  const showRerankModelSelector = useMemo(() => {
+    if (searchMethod === RetrievalSearchMethodEnum.semantic)
+      return true
+
+    if (searchMethod === RetrievalSearchMethodEnum.fullText)
+      return true
+
+    if (searchMethod === RetrievalSearchMethodEnum.hybrid && hybridSearchMode !== HybridSearchModeEnum.WeightedScore)
+      return true
+
+    return false
+  }, [hybridSearchMode, searchMethod])
+
   return (
     <OptionCard
       key={option.id}
@@ -129,12 +159,31 @@ const SearchMethodOption = ({
           )
         }
         {
-          !(isHybridSearch && hybridSearchMode === HybridSearchModeEnum.WeightedScore) && (
+          showRerankModelSelector && (
+            <div>
+              {
+                showRerankModelSelectorSwitch && (
+                  <div className='system-sm-semibold mb-1 flex items-center text-text-secondary'>
+                    <Switch
+                      className='mr-1'
+                      defaultValue={rerankingModelEnabled}
+                      onChange={onRerankingModelEnabledChange}
+                      disabled={readonly}
+                    />
+                    {t('common.modelProvider.rerankModel.key')}
+                    <Tooltip
+                      triggerClassName='ml-0.5 shrink-0 w-3.5 h-3.5'
+                      popupContent={t('common.modelProvider.rerankModel.tip')}
+                    />
+                  </div>
+                )
+              }
               <RerankingModelSelector
                 rerankingModel={rerankingModel}
                 onRerankingModelChange={onRerankingModelChange}
                 readonly={readonly}
               />
+            </div>
           )
         }
         <TopKAndScoreThreshold
@@ -145,6 +194,7 @@ const SearchMethodOption = ({
           isScoreThresholdEnabled={isScoreThresholdEnabled}
           onScoreThresholdEnabledChange={onScoreThresholdEnabledChange}
           readonly={readonly}
+          hiddenScoreThreshold={searchMethod === RetrievalSearchMethodEnum.invertedIndex}
         />
       </div>
     </OptionCard>

web/app/components/workflow/nodes/knowledge-base/components/retrieval-setting/top-k-and-score-threshold.tsx

@@ -1,4 +1,5 @@
 import { memo } from 'react'
+import { useTranslation } from 'react-i18next'
 import Tooltip from '@/app/components/base/tooltip'
 import Input from '@/app/components/base/input'
 import Switch from '@/app/components/base/switch'
@@ -11,6 +12,7 @@ export type TopKAndScoreThresholdProps = {
   isScoreThresholdEnabled?: boolean
   onScoreThresholdEnabledChange?: (value: boolean) => void
   readonly?: boolean
+  hiddenScoreThreshold?: boolean
 }
 const TopKAndScoreThreshold = ({
   topK,
@@ -20,7 +22,9 @@ const TopKAndScoreThreshold = ({
   isScoreThresholdEnabled,
   onScoreThresholdEnabledChange,
   readonly,
+  hiddenScoreThreshold,
 }: TopKAndScoreThresholdProps) => {
+  const { t } = useTranslation()
   const handleTopKChange = (e: React.ChangeEvent<HTMLInputElement>) => {
     const value = Number(e.target.value)
     if (Number.isNaN(value))
@@ -39,10 +43,10 @@ const TopKAndScoreThreshold = ({
     <div className='grid grid-cols-2 gap-4'>
       <div>
         <div className='system-xs-medium mb-0.5 flex h-6 items-center text-text-secondary'>
-          Top k
+          {t('appDebug.datasetConfig.top_k')}
           <Tooltip
             triggerClassName='ml-0.5 shrink-0 w-3.5 h-3.5'
-            popupContent='top k'
+            popupContent={t('appDebug.datasetConfig.top_kTip')}
           />
         </div>
         <Input
@@ -52,6 +56,8 @@ const TopKAndScoreThreshold = ({
           disabled={readonly}
         />
       </div>
+      {
+        !hiddenScoreThreshold && (
           <div>
             <div className='mb-0.5 flex h-6 items-center'>
               <Switch
@@ -61,20 +67,22 @@ const TopKAndScoreThreshold = ({
                 disabled={readonly}
               />
               <div className='system-sm-medium grow truncate text-text-secondary'>
-            Score Threshold
+                {t('appDebug.datasetConfig.score_threshold')}
               </div>
               <Tooltip
                 triggerClassName='shrink-0 ml-0.5 w-3.5 h-3.5'
-            popupContent='Score Threshold'
+                popupContent={t('appDebug.datasetConfig.score_thresholdTip')}
               />
             </div>
             <Input
               type='number'
               value={scoreThreshold}
               onChange={handleScoreThresholdChange}
-          disabled={readonly}
+              disabled={readonly || !isScoreThresholdEnabled}
             />
           </div>
+        )
+      }
     </div>
   )
 }

web/app/components/workflow/nodes/knowledge-base/node.tsx

@@ -1,17 +1,19 @@
 import type { FC } from 'react'
 import { memo } from 'react'
+import { useTranslation } from 'react-i18next'
 import type { KnowledgeBaseNodeType } from './types'
 import type { NodeProps } from '@/app/components/workflow/types'
 
 const Node: FC<NodeProps<KnowledgeBaseNodeType>> = ({ data }) => {
+  const { t } = useTranslation()
   return (
     <div className='mb-1 space-y-0.5 px-3 py-1'>
       <div className='flex h-6 items-center rounded-md bg-workflow-block-parma-bg px-1.5'>
-        <div className='system-xs-medium-uppercase mr-2 shrink-0 text-text-tertiary'>Index method</div>
+        <div className='system-xs-medium-uppercase mr-2 shrink-0 text-text-tertiary'>{t('datasetCreation.stepTwo.indexMode')}</div>
         <div className='system-xs-medium grow truncate text-right text-text-secondary' title={data.indexing_technique}>{data.indexing_technique}</div>
       </div>
       <div className='flex h-6 items-center rounded-md bg-workflow-block-parma-bg px-1.5'>
-        <div className='system-xs-medium-uppercase mr-2 shrink-0 text-text-tertiary'>Retrieval Method</div>
+        <div className='system-xs-medium-uppercase mr-2 shrink-0 text-text-tertiary'>{t('datasetSettings.form.retrievalSetting.title')}</div>
         <div className='system-xs-medium grow truncate text-right text-text-secondary' title={data.retrieval_model.search_method}>{data.retrieval_model.search_method}</div>
       </div>
     </div>