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chore: n to 1 retrieval (#6839)
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parent
792f908afb
commit
9ae88ede12
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@ -4,6 +4,7 @@ import { memo, useMemo } from 'react'
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import type { FC } from 'react'
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import { useTranslation } from 'react-i18next'
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import {
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RiAlertFill,
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RiQuestionLine,
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} from '@remixicon/react'
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import WeightedScore from './weighted-score'
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@ -26,7 +27,6 @@ import TooltipPlus from '@/app/components/base/tooltip-plus'
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import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
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import type {
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DataSet,
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WeightedScoreEnum,
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} from '@/models/datasets'
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import { RerankingModeEnum } from '@/models/datasets'
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import cn from '@/utils/classnames'
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@ -112,12 +112,11 @@ const ConfigContent: FC<Props> = ({
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})
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}
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const handleWeightedScoreChange = (value: { type: WeightedScoreEnum; value: number[] }) => {
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const handleWeightedScoreChange = (value: { value: number[] }) => {
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const configs = {
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...datasetConfigs,
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weights: {
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...datasetConfigs.weights!,
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weight_type: value.type,
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vector_setting: {
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...datasetConfigs.weights!.vector_setting!,
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vector_weight: value.value[0],
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@ -178,14 +177,6 @@ const ConfigContent: FC<Props> = ({
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popupContent={(
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<div className='w-[320px]'>
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{t('dataset.nTo1RetrievalLegacy')}
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<a
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className='underline'
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href={LEGACY_LINK_MAP[language]}
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target='_blank'
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rel='noopener noreferrer'
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>
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({t('dataset.nTo1RetrievalLegacyLink')})
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</a>
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</div>
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)}
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>
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@ -196,6 +187,22 @@ const ConfigContent: FC<Props> = ({
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description={t('appDebug.datasetConfig.retrieveOneWay.description')}
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isChosen={type === RETRIEVE_TYPE.oneWay}
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onChosen={() => { setType(RETRIEVE_TYPE.oneWay) }}
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extra={(
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<div className='flex pl-3 pr-1 py-3 border-t border-divider-subtle bg-state-warning-hover rounded-b-xl'>
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<RiAlertFill className='shrink-0 mr-1.5 w-4 h-4 text-text-warning-secondary' />
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<div className='system-xs-medium text-text-primary'>
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{t('dataset.nTo1RetrievalLegacyLinkText')}
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<a
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className='text-text-accent'
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href={LEGACY_LINK_MAP[language]}
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target='_blank'
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rel='noopener noreferrer'
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>
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{t('dataset.nTo1RetrievalLegacyLink')}
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</a>
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</div>
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</div>
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)}
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/>
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<RadioCard
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icon={<MultiPathRetrieval className='shrink-0 mr-3 w-9 h-9 rounded-lg' />}
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@ -302,7 +309,6 @@ const ConfigContent: FC<Props> = ({
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<div className='mt-2 space-y-4'>
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<WeightedScore
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value={{
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type: datasetConfigs.weights!.weight_type,
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value: [
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datasetConfigs.weights!.vector_setting.vector_weight,
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datasetConfigs.weights!.keyword_setting.keyword_weight,
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@ -0,0 +1,7 @@
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.weightedScoreSliderTrack {
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background: var(--color-util-colors-blue-light-blue-light-500) !important;
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}
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.weightedScoreSliderTrack-1 {
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background: transparent !important;
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}
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@ -1,9 +1,6 @@
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import { memo, useCallback } from 'react'
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import { memo } from 'react'
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import { useTranslation } from 'react-i18next'
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import {
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DEFAULT_WEIGHTED_SCORE,
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WeightedScoreEnum,
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} from '@/models/datasets'
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import './weighted-score.css'
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import Slider from '@/app/components/base/slider'
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import cn from '@/utils/classnames'
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@ -17,7 +14,6 @@ const formatNumber = (value: number) => {
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}
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type Value = {
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type: WeightedScoreEnum
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value: number[]
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}
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@ -30,78 +26,31 @@ const WeightedScore = ({
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onChange = () => {},
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}: WeightedScoreProps) => {
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const { t } = useTranslation()
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const options = [
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{
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value: WeightedScoreEnum.SemanticFirst,
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label: t('dataset.weightedScore.semanticFirst'),
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},
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{
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value: WeightedScoreEnum.KeywordFirst,
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label: t('dataset.weightedScore.keywordFirst'),
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},
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{
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value: WeightedScoreEnum.Customized,
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label: t('dataset.weightedScore.customized'),
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},
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]
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const disabled = value.type !== WeightedScoreEnum.Customized
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const handleTypeChange = useCallback((type: WeightedScoreEnum) => {
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const result = { ...value, type }
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if (type === WeightedScoreEnum.SemanticFirst)
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result.value = [DEFAULT_WEIGHTED_SCORE.semanticFirst.semantic, DEFAULT_WEIGHTED_SCORE.semanticFirst.keyword]
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if (type === WeightedScoreEnum.KeywordFirst)
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result.value = [DEFAULT_WEIGHTED_SCORE.keywordFirst.semantic, DEFAULT_WEIGHTED_SCORE.keywordFirst.keyword]
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onChange(result)
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}, [value, onChange])
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return (
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<div>
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<div className='flex items-center mb-1 space-x-4'>
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{
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options.map(option => (
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<div
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key={option.value}
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className='flex py-1.5 max-w-[calc((100%-32px)/3)] system-sm-regular text-text-secondary cursor-pointer'
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onClick={() => handleTypeChange(option.value)}
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>
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<div
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className={cn(
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'shrink-0 mr-2 w-4 h-4 bg-components-radio-bg border border-components-radio-border rounded-full shadow-xs',
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value.type === option.value && 'border-[5px] border-components-radio-border-checked',
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)}
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></div>
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<div className='truncate' title={option.label}>{option.label}</div>
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</div>
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))
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}
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</div>
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<div className='flex items-center px-3 h-9 space-x-3 rounded-lg border border-components-panel-border'>
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<div className='shrink-0 flex items-center w-[90px] system-xs-semibold-uppercase text-util-colors-blue-blue-500'>
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<div className='mr-1 truncate uppercase' title={t('dataset.weightedScore.semantic') || ''}>
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{t('dataset.weightedScore.semantic')}
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</div>
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{formatNumber(value.value[0])}
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</div>
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<div className='px-3 pt-5 h-[52px] space-x-3 rounded-lg border border-components-panel-border'>
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<Slider
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className={cn('grow h-0.5 bg-gradient-to-r from-[#53B1FD] to-[#2ED3B7]', disabled && 'cursor-not-allowed')}
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className={cn('grow h-0.5 !bg-util-colors-teal-teal-500 rounded-full')}
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max={1.0}
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min={0}
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step={0.1}
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value={value.value[0]}
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onChange={v => onChange({ type: value.type, value: [v, (10 - v * 10) / 10] })}
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disabled={disabled}
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thumbClassName={cn(disabled && '!cursor-not-allowed')}
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trackClassName='!bg-transparent'
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onChange={v => onChange({ value: [v, (10 - v * 10) / 10] })}
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trackClassName='weightedScoreSliderTrack'
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/>
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<div className='shrink-0 flex items-center justify-end w-[90px] system-xs-semibold-uppercase text-util-colors-cyan-cyan-500'>
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{formatNumber(value.value[1])}
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<div className='ml-1 truncate uppercase' title={t('dataset.weightedScore.keyword') || ''}>
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{t('dataset.weightedScore.keyword')}
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<div className='flex justify-between mt-1'>
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<div className='shrink-0 flex items-center w-[90px] system-xs-semibold-uppercase text-util-colors-blue-light-blue-light-500'>
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<div className='mr-1 truncate uppercase' title={t('dataset.weightedScore.semantic') || ''}>
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{t('dataset.weightedScore.semantic')}
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</div>
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{formatNumber(value.value[0])}
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</div>
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<div className='shrink-0 flex items-center justify-end w-[90px] system-xs-semibold-uppercase text-util-colors-teal-teal-500'>
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{formatNumber(value.value[1])}
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<div className='ml-1 truncate uppercase' title={t('dataset.weightedScore.keyword') || ''}>
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{t('dataset.weightedScore.keyword')}
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</div>
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</div>
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</div>
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</div>
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@ -12,6 +12,7 @@ type Props = {
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onChosen: () => void
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chosenConfig?: React.ReactNode
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icon?: JSX.Element
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extra?: React.ReactNode
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}
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const RadioCard: FC<Props> = ({
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@ -20,20 +21,24 @@ const RadioCard: FC<Props> = ({
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isChosen,
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onChosen,
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icon,
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extra,
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}) => {
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return (
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<div
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className={cn(s.item, isChosen && s.active, 'flex')}
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className={cn(s.item, isChosen && s.active)}
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onClick={onChosen}
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>
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{icon}
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<div>
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<div className='flex justify-between items-center'>
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<div className='leading-5 text-sm font-medium text-gray-900'>{title}</div>
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<div className={s.radio}></div>
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<div className='flex px-3 py-2'>
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{icon}
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<div>
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<div className='flex justify-between items-center'>
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<div className='leading-5 text-sm font-medium text-gray-900'>{title}</div>
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<div className={s.radio}></div>
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</div>
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<div className='leading-[18px] text-xs font-normal text-gray-500'>{description}</div>
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</div>
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<div className='leading-[18px] text-xs font-normal text-gray-500'>{description}</div>
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</div>
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{extra}
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</div>
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)
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}
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@ -1,5 +1,5 @@
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.item {
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@apply relative p-4 rounded-xl border border-gray-100 cursor-pointer;
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@apply relative rounded-xl border border-gray-100 cursor-pointer;
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background-color: #fcfcfd;
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}
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@ -2,7 +2,6 @@ import type { CommonNodeType, ModelConfig, ValueSelector } from '@/app/component
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import type { RETRIEVE_TYPE } from '@/types/app'
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import type {
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RerankingModeEnum,
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WeightedScoreEnum,
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} from '@/models/datasets'
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export type MultipleRetrievalConfig = {
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@ -14,7 +13,6 @@ export type MultipleRetrievalConfig = {
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}
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reranking_mode?: RerankingModeEnum
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weights?: {
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weight_type: WeightedScoreEnum
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vector_setting: {
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vector_weight: number
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embedding_provider_name: string
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@ -263,7 +263,7 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
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handleMultipleRetrievalConfigChange,
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handleModelChanged,
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handleCompletionParamsChange,
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selectedDatasets,
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selectedDatasets: selectedDatasets.filter(d => d.name),
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handleOnDatasetsChange,
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isShowSingleRun,
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hideSingleRun,
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@ -7,7 +7,6 @@ import type {
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import {
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DEFAULT_WEIGHTED_SCORE,
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RerankingModeEnum,
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WeightedScoreEnum,
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} from '@/models/datasets'
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import { RETRIEVE_METHOD } from '@/types/app'
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import { DATASET_DEFAULT } from '@/config'
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@ -100,7 +99,6 @@ export const getMultipleRetrievalConfig = (multipleRetrievalConfig: MultipleRetr
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if (allHighQuality && !inconsistentEmbeddingModel && (reranking_mode === RerankingModeEnum.WeightedScore || reranking_mode === undefined) && !weights) {
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result.weights = {
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weight_type: WeightedScoreEnum.Customized,
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vector_setting: {
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vector_weight: allHighQualityVectorSearch
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? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.semantic
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@ -70,6 +70,7 @@ const translation = {
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},
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nTo1RetrievalLegacy: 'N-to-1 retrieval will be officially deprecated from September. It is recommended to use the latest Multi-path retrieval to obtain better results. ',
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nTo1RetrievalLegacyLink: 'Learn more',
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nTo1RetrievalLegacyLinkText: ' N-to-1 retrieval will be officially deprecated in September.',
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}
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export default translation
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@ -70,6 +70,7 @@ const translation = {
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},
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nTo1RetrievalLegacy: '9 月 1 日起我们将不再提供此能力,推荐使用最新的多路召回获得更好的检索效果。',
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nTo1RetrievalLegacyLink: '了解更多',
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nTo1RetrievalLegacyLinkText: '9 月 1 日起我们将不再提供此能力。',
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}
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export default translation
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@ -1,7 +1,6 @@
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import type { AgentStrategy, ModelModeType, RETRIEVE_TYPE, ToolItem, TtsAutoPlay } from '@/types/app'
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import type {
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RerankingModeEnum,
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WeightedScoreEnum,
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} from '@/models/datasets'
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export type Inputs = Record<string, string | number | object>
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@ -157,7 +156,6 @@ export type DatasetConfigs = {
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}
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reranking_mode?: RerankingModeEnum
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weights?: {
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weight_type: WeightedScoreEnum
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vector_setting: {
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vector_weight: number
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embedding_provider_name: string
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