chore: n to 1 retrieval (#6839)

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zxhlyh 2024-08-01 13:45:18 +08:00 committed by GitHub
parent 792f908afb
commit 9ae88ede12
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11 changed files with 59 additions and 96 deletions

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@ -4,6 +4,7 @@ import { memo, useMemo } from 'react'
import type { FC } from 'react'
import { useTranslation } from 'react-i18next'
import {
RiAlertFill,
RiQuestionLine,
} from '@remixicon/react'
import WeightedScore from './weighted-score'
@ -26,7 +27,6 @@ import TooltipPlus from '@/app/components/base/tooltip-plus'
import { ModelTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations'
import type {
DataSet,
WeightedScoreEnum,
} from '@/models/datasets'
import { RerankingModeEnum } from '@/models/datasets'
import cn from '@/utils/classnames'
@ -112,12 +112,11 @@ const ConfigContent: FC<Props> = ({
})
}
const handleWeightedScoreChange = (value: { type: WeightedScoreEnum; value: number[] }) => {
const handleWeightedScoreChange = (value: { value: number[] }) => {
const configs = {
...datasetConfigs,
weights: {
...datasetConfigs.weights!,
weight_type: value.type,
vector_setting: {
...datasetConfigs.weights!.vector_setting!,
vector_weight: value.value[0],
@ -178,14 +177,6 @@ const ConfigContent: FC<Props> = ({
popupContent={(
<div className='w-[320px]'>
{t('dataset.nTo1RetrievalLegacy')}
<a
className='underline'
href={LEGACY_LINK_MAP[language]}
target='_blank'
rel='noopener noreferrer'
>
({t('dataset.nTo1RetrievalLegacyLink')})
</a>
</div>
)}
>
@ -196,6 +187,22 @@ const ConfigContent: FC<Props> = ({
description={t('appDebug.datasetConfig.retrieveOneWay.description')}
isChosen={type === RETRIEVE_TYPE.oneWay}
onChosen={() => { setType(RETRIEVE_TYPE.oneWay) }}
extra={(
<div className='flex pl-3 pr-1 py-3 border-t border-divider-subtle bg-state-warning-hover rounded-b-xl'>
<RiAlertFill className='shrink-0 mr-1.5 w-4 h-4 text-text-warning-secondary' />
<div className='system-xs-medium text-text-primary'>
{t('dataset.nTo1RetrievalLegacyLinkText')}
<a
className='text-text-accent'
href={LEGACY_LINK_MAP[language]}
target='_blank'
rel='noopener noreferrer'
>
{t('dataset.nTo1RetrievalLegacyLink')}
</a>
</div>
</div>
)}
/>
<RadioCard
icon={<MultiPathRetrieval className='shrink-0 mr-3 w-9 h-9 rounded-lg' />}
@ -302,7 +309,6 @@ const ConfigContent: FC<Props> = ({
<div className='mt-2 space-y-4'>
<WeightedScore
value={{
type: datasetConfigs.weights!.weight_type,
value: [
datasetConfigs.weights!.vector_setting.vector_weight,
datasetConfigs.weights!.keyword_setting.keyword_weight,

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@ -0,0 +1,7 @@
.weightedScoreSliderTrack {
background: var(--color-util-colors-blue-light-blue-light-500) !important;
}
.weightedScoreSliderTrack-1 {
background: transparent !important;
}

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@ -1,9 +1,6 @@
import { memo, useCallback } from 'react'
import { memo } from 'react'
import { useTranslation } from 'react-i18next'
import {
DEFAULT_WEIGHTED_SCORE,
WeightedScoreEnum,
} from '@/models/datasets'
import './weighted-score.css'
import Slider from '@/app/components/base/slider'
import cn from '@/utils/classnames'
@ -17,7 +14,6 @@ const formatNumber = (value: number) => {
}
type Value = {
type: WeightedScoreEnum
value: number[]
}
@ -30,78 +26,31 @@ const WeightedScore = ({
onChange = () => {},
}: WeightedScoreProps) => {
const { t } = useTranslation()
const options = [
{
value: WeightedScoreEnum.SemanticFirst,
label: t('dataset.weightedScore.semanticFirst'),
},
{
value: WeightedScoreEnum.KeywordFirst,
label: t('dataset.weightedScore.keywordFirst'),
},
{
value: WeightedScoreEnum.Customized,
label: t('dataset.weightedScore.customized'),
},
]
const disabled = value.type !== WeightedScoreEnum.Customized
const handleTypeChange = useCallback((type: WeightedScoreEnum) => {
const result = { ...value, type }
if (type === WeightedScoreEnum.SemanticFirst)
result.value = [DEFAULT_WEIGHTED_SCORE.semanticFirst.semantic, DEFAULT_WEIGHTED_SCORE.semanticFirst.keyword]
if (type === WeightedScoreEnum.KeywordFirst)
result.value = [DEFAULT_WEIGHTED_SCORE.keywordFirst.semantic, DEFAULT_WEIGHTED_SCORE.keywordFirst.keyword]
onChange(result)
}, [value, onChange])
return (
<div>
<div className='flex items-center mb-1 space-x-4'>
{
options.map(option => (
<div
key={option.value}
className='flex py-1.5 max-w-[calc((100%-32px)/3)] system-sm-regular text-text-secondary cursor-pointer'
onClick={() => handleTypeChange(option.value)}
>
<div
className={cn(
'shrink-0 mr-2 w-4 h-4 bg-components-radio-bg border border-components-radio-border rounded-full shadow-xs',
value.type === option.value && 'border-[5px] border-components-radio-border-checked',
)}
></div>
<div className='truncate' title={option.label}>{option.label}</div>
</div>
))
}
</div>
<div className='flex items-center px-3 h-9 space-x-3 rounded-lg border border-components-panel-border'>
<div className='shrink-0 flex items-center w-[90px] system-xs-semibold-uppercase text-util-colors-blue-blue-500'>
<div className='mr-1 truncate uppercase' title={t('dataset.weightedScore.semantic') || ''}>
{t('dataset.weightedScore.semantic')}
</div>
{formatNumber(value.value[0])}
</div>
<div className='px-3 pt-5 h-[52px] space-x-3 rounded-lg border border-components-panel-border'>
<Slider
className={cn('grow h-0.5 bg-gradient-to-r from-[#53B1FD] to-[#2ED3B7]', disabled && 'cursor-not-allowed')}
className={cn('grow h-0.5 !bg-util-colors-teal-teal-500 rounded-full')}
max={1.0}
min={0}
step={0.1}
value={value.value[0]}
onChange={v => onChange({ type: value.type, value: [v, (10 - v * 10) / 10] })}
disabled={disabled}
thumbClassName={cn(disabled && '!cursor-not-allowed')}
trackClassName='!bg-transparent'
onChange={v => onChange({ value: [v, (10 - v * 10) / 10] })}
trackClassName='weightedScoreSliderTrack'
/>
<div className='shrink-0 flex items-center justify-end w-[90px] system-xs-semibold-uppercase text-util-colors-cyan-cyan-500'>
{formatNumber(value.value[1])}
<div className='ml-1 truncate uppercase' title={t('dataset.weightedScore.keyword') || ''}>
{t('dataset.weightedScore.keyword')}
<div className='flex justify-between mt-1'>
<div className='shrink-0 flex items-center w-[90px] system-xs-semibold-uppercase text-util-colors-blue-light-blue-light-500'>
<div className='mr-1 truncate uppercase' title={t('dataset.weightedScore.semantic') || ''}>
{t('dataset.weightedScore.semantic')}
</div>
{formatNumber(value.value[0])}
</div>
<div className='shrink-0 flex items-center justify-end w-[90px] system-xs-semibold-uppercase text-util-colors-teal-teal-500'>
{formatNumber(value.value[1])}
<div className='ml-1 truncate uppercase' title={t('dataset.weightedScore.keyword') || ''}>
{t('dataset.weightedScore.keyword')}
</div>
</div>
</div>
</div>

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@ -12,6 +12,7 @@ type Props = {
onChosen: () => void
chosenConfig?: React.ReactNode
icon?: JSX.Element
extra?: React.ReactNode
}
const RadioCard: FC<Props> = ({
@ -20,20 +21,24 @@ const RadioCard: FC<Props> = ({
isChosen,
onChosen,
icon,
extra,
}) => {
return (
<div
className={cn(s.item, isChosen && s.active, 'flex')}
className={cn(s.item, isChosen && s.active)}
onClick={onChosen}
>
{icon}
<div>
<div className='flex justify-between items-center'>
<div className='leading-5 text-sm font-medium text-gray-900'>{title}</div>
<div className={s.radio}></div>
<div className='flex px-3 py-2'>
{icon}
<div>
<div className='flex justify-between items-center'>
<div className='leading-5 text-sm font-medium text-gray-900'>{title}</div>
<div className={s.radio}></div>
</div>
<div className='leading-[18px] text-xs font-normal text-gray-500'>{description}</div>
</div>
<div className='leading-[18px] text-xs font-normal text-gray-500'>{description}</div>
</div>
{extra}
</div>
)
}

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@ -1,5 +1,5 @@
.item {
@apply relative p-4 rounded-xl border border-gray-100 cursor-pointer;
@apply relative rounded-xl border border-gray-100 cursor-pointer;
background-color: #fcfcfd;
}

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@ -2,7 +2,6 @@ import type { CommonNodeType, ModelConfig, ValueSelector } from '@/app/component
import type { RETRIEVE_TYPE } from '@/types/app'
import type {
RerankingModeEnum,
WeightedScoreEnum,
} from '@/models/datasets'
export type MultipleRetrievalConfig = {
@ -14,7 +13,6 @@ export type MultipleRetrievalConfig = {
}
reranking_mode?: RerankingModeEnum
weights?: {
weight_type: WeightedScoreEnum
vector_setting: {
vector_weight: number
embedding_provider_name: string

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@ -263,7 +263,7 @@ const useConfig = (id: string, payload: KnowledgeRetrievalNodeType) => {
handleMultipleRetrievalConfigChange,
handleModelChanged,
handleCompletionParamsChange,
selectedDatasets,
selectedDatasets: selectedDatasets.filter(d => d.name),
handleOnDatasetsChange,
isShowSingleRun,
hideSingleRun,

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@ -7,7 +7,6 @@ import type {
import {
DEFAULT_WEIGHTED_SCORE,
RerankingModeEnum,
WeightedScoreEnum,
} from '@/models/datasets'
import { RETRIEVE_METHOD } from '@/types/app'
import { DATASET_DEFAULT } from '@/config'
@ -100,7 +99,6 @@ export const getMultipleRetrievalConfig = (multipleRetrievalConfig: MultipleRetr
if (allHighQuality && !inconsistentEmbeddingModel && (reranking_mode === RerankingModeEnum.WeightedScore || reranking_mode === undefined) && !weights) {
result.weights = {
weight_type: WeightedScoreEnum.Customized,
vector_setting: {
vector_weight: allHighQualityVectorSearch
? DEFAULT_WEIGHTED_SCORE.allHighQualityVectorSearch.semantic

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@ -70,6 +70,7 @@ const translation = {
},
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. ',
nTo1RetrievalLegacyLink: 'Learn more',
nTo1RetrievalLegacyLinkText: ' N-to-1 retrieval will be officially deprecated in September.',
}
export default translation

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@ -70,6 +70,7 @@ const translation = {
},
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。',
nTo1RetrievalLegacyLink: '了解更多',
nTo1RetrievalLegacyLinkText: '9 月 1 日起我们将不再提供此能力。',
}
export default translation

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@ -1,7 +1,6 @@
import type { AgentStrategy, ModelModeType, RETRIEVE_TYPE, ToolItem, TtsAutoPlay } from '@/types/app'
import type {
RerankingModeEnum,
WeightedScoreEnum,
} from '@/models/datasets'
export type Inputs = Record<string, string | number | object>
@ -157,7 +156,6 @@ export type DatasetConfigs = {
}
reranking_mode?: RerankingModeEnum
weights?: {
weight_type: WeightedScoreEnum
vector_setting: {
vector_weight: number
embedding_provider_name: string