feat: mix search weight (#4170)
* feat: mix search weight * feat: svg render
This commit is contained in:
@@ -85,7 +85,7 @@ export default React.memo(Markdown);
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function Code(e: any) {
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const { className, codeBlock, children } = e;
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const match = /language-(\w+)/.exec(className || '');
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const codeType = match?.[1];
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const codeType = match?.[1]?.toLowerCase();
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const strChildren = String(children);
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@@ -105,7 +105,7 @@ function Code(e: any) {
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if (codeType === CodeClassNameEnum.iframe) {
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return <IframeCodeBlock code={strChildren} />;
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}
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if (codeType && codeType.toLowerCase() === CodeClassNameEnum.html) {
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if (codeType === CodeClassNameEnum.html || codeType === CodeClassNameEnum.svg) {
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return (
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<IframeHtmlCodeBlock className={className} codeBlock={codeBlock} match={match}>
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{children}
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@@ -8,6 +8,7 @@ export enum CodeClassNameEnum {
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latex = 'latex',
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iframe = 'iframe',
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html = 'html',
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svg = 'svg',
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video = 'video',
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audio = 'audio'
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}
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@@ -1,5 +1,17 @@
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import React, { useEffect, useMemo, useState } from 'react';
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import { Box, Button, Flex, HStack, ModalBody, ModalFooter, Switch } from '@chakra-ui/react';
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import {
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Box,
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Button,
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Flex,
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HStack,
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ModalBody,
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ModalFooter,
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Switch,
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Slider,
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SliderTrack,
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SliderFilledTrack,
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SliderThumb
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} from '@chakra-ui/react';
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import { useForm } from 'react-hook-form';
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import MyModal from '@fastgpt/web/components/common/MyModal';
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import { DatasetSearchModeEnum } from '@fastgpt/global/core/dataset/constants';
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@@ -17,6 +29,7 @@ import { defaultDatasetMaxTokens } from '@fastgpt/global/core/app/constants';
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import InputSlider from '@fastgpt/web/components/common/MySlider/InputSlider';
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import LeftRadio from '@fastgpt/web/components/common/Radio/LeftRadio';
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import { AppDatasetSearchParamsType } from '@fastgpt/global/core/app/type';
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import MyIcon from '@fastgpt/web/components/common/Icon';
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enum SearchSettingTabEnum {
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searchMode = 'searchMode',
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@@ -28,6 +41,7 @@ const DatasetParamsModal = ({
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searchMode = DatasetSearchModeEnum.embedding,
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limit,
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similarity,
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embeddingWeight,
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usingReRank,
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rerankModel,
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rerankWeight,
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@@ -62,12 +76,13 @@ const DatasetParamsModal = ({
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const { register, setValue, getValues, handleSubmit, watch } =
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useForm<AppDatasetSearchParamsType>({
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defaultValues: {
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limit,
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similarity,
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searchMode,
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embeddingWeight: embeddingWeight || 0.5,
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usingReRank: !!usingReRank && teamPlanStatus?.standardConstants?.permissionReRank !== false,
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rerankModel: rerankModel || defaultModels?.rerank?.model,
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rerankWeight: rerankWeight || 0.5,
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limit,
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similarity,
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datasetSearchUsingExtensionQuery,
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datasetSearchExtensionModel: datasetSearchExtensionModel || defaultModels.llm?.model,
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datasetSearchExtensionBg
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@@ -75,6 +90,12 @@ const DatasetParamsModal = ({
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});
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const searchModeWatch = watch('searchMode');
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const embeddingWeightWatch = watch('embeddingWeight');
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const fullTextWeightWatch = useMemo(() => {
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const val = 1 - (embeddingWeightWatch || 0.5);
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return Number(val.toFixed(2));
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}, [embeddingWeightWatch]);
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const datasetSearchUsingCfrForm = watch('datasetSearchUsingExtensionQuery');
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const queryExtensionModel = watch('datasetSearchExtensionModel');
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@@ -168,8 +189,45 @@ const DatasetParamsModal = ({
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{
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title: t('common:core.dataset.search.mode.mixedRecall'),
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desc: t('common:core.dataset.search.mode.mixedRecall desc'),
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value: DatasetSearchModeEnum.mixedRecall
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// children: searchModeWatch === DatasetSearchModeEnum.mixedRecall && <Box>111</Box>
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value: DatasetSearchModeEnum.mixedRecall,
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children: searchModeWatch === DatasetSearchModeEnum.mixedRecall && (
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<Box mt={3}>
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<HStack justifyContent={'space-between'}>
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<Flex alignItems={'center'}>
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<Box fontSize={'sm'} color={'myGray.900'}>
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{t('common:core.dataset.search.mode.embedding')}
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</Box>
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<Box fontSize={'xs'} color={'myGray.500'}>
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{embeddingWeightWatch}
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</Box>
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</Flex>
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<Flex alignItems={'center'}>
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<Box fontSize={'sm'} color={'myGray.900'}>
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{t('common:core.dataset.search.score.fullText')}
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</Box>
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<Box fontSize={'xs'} color={'myGray.500'}>
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{fullTextWeightWatch}
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</Box>
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</Flex>
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</HStack>
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<Slider
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defaultValue={embeddingWeightWatch}
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min={0.1}
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max={0.9}
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step={0.01}
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onChange={(e) => {
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setValue('embeddingWeight', Number(e.toFixed(2)));
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}}
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>
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<SliderTrack bg={'#F9518E'}>
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<SliderFilledTrack bg={'#3370FF'} />
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</SliderTrack>
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<SliderThumb boxShadow={'none'} bg={'none'}>
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<MyIcon transform={'translateY(10px)'} name={'sliderTag'} w={'1rem'} />
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</SliderThumb>
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</Slider>
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</Box>
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)
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}
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]}
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value={searchModeWatch}
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@@ -201,7 +259,7 @@ const DatasetParamsModal = ({
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<>
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<HStack mt={3} justifyContent={'space-between'}>
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<Box fontSize={'sm'} flex={'0 0 100px'} color={'myGray.700'}>
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{t('app:rerank_weight')}
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{t('common:rerank_weight')}
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</Box>
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<Box flex={'1 0 0'}>
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<InputSlider
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@@ -228,10 +228,23 @@ export const WholeResponseContent = ({
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{activeModule?.searchMode && (
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<Row
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label={t('common:core.dataset.search.search mode')}
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// @ts-ignore
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value={t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
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rawDom={
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<Flex border={'base'} borderRadius={'md'} p={2}>
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<Box>
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{/* @ts-ignore */}
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{t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
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</Box>
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{activeModule.embeddingWeight && (
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<>{`(${t('chat:response_hybrid_weight', {
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emb: activeModule.embeddingWeight,
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text: 1 - activeModule.embeddingWeight
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})})`}</>
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)}
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</Flex>
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}
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/>
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)}
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<Row
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label={t('common:core.chat.response.module similarity')}
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value={activeModule?.similarity}
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@@ -239,7 +252,19 @@ export const WholeResponseContent = ({
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<Row label={t('common:core.chat.response.module limit')} value={activeModule?.limit} />
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<Row
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label={t('common:core.chat.response.search using reRank')}
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value={`${activeModule?.searchUsingReRank}`}
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rawDom={
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<Box border={'base'} borderRadius={'md'} p={2}>
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{activeModule?.searchUsingReRank ? (
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activeModule?.rerankModel ? (
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<Box>{`${activeModule.rerankModel}: ${activeModule.rerankWeight}`}</Box>
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) : (
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'True'
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)
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) : (
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`False`
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)}
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</Box>
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}
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/>
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{activeModule.queryExtensionResult && (
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<>
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@@ -63,8 +63,13 @@ export type SearchTestProps = {
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text: string;
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[NodeInputKeyEnum.datasetSimilarity]?: number;
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[NodeInputKeyEnum.datasetMaxTokens]?: number;
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[NodeInputKeyEnum.datasetSearchMode]?: `${DatasetSearchModeEnum}`;
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[NodeInputKeyEnum.datasetSearchEmbeddingWeight]?: number;
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[NodeInputKeyEnum.datasetSearchUsingReRank]?: boolean;
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[NodeInputKeyEnum.datasetSearchRerankModel]?: string;
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[NodeInputKeyEnum.datasetSearchRerankWeight]?: number;
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[NodeInputKeyEnum.datasetSearchUsingExtensionQuery]?: boolean;
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[NodeInputKeyEnum.datasetSearchExtensionModel]?: string;
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@@ -24,6 +24,7 @@ const SelectDatasetParam = ({ inputs = [], nodeId }: RenderInputProps) => {
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const [data, setData] = useState<AppDatasetSearchParamsType>({
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searchMode: DatasetSearchModeEnum.embedding,
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embeddingWeight: 0.5,
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limit: 3000,
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similarity: 0.5,
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usingReRank: false,
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@@ -36,9 +36,14 @@ type FormType = {
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inputText: string;
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searchParams: {
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searchMode: `${DatasetSearchModeEnum}`;
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embeddingWeight?: number;
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usingReRank?: boolean;
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rerankModel?: string;
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rerankWeight?: number;
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similarity?: number;
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limit?: number;
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usingReRank?: boolean;
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datasetSearchUsingExtensionQuery?: boolean;
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datasetSearchExtensionModel?: string;
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datasetSearchExtensionBg?: string;
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@@ -53,7 +58,6 @@ const Test = ({ datasetId }: { datasetId: string }) => {
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const { pushDatasetTestItem } = useSearchTestStore();
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const [inputType, setInputType] = useState<'text' | 'file'>('text');
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const [datasetTestItem, setDatasetTestItem] = useState<SearchTestStoreItemType>();
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const [refresh, setRefresh] = useState(false);
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const [isFocus, setIsFocus] = useState(false);
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const { File, onOpen } = useSelectFile({
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fileType: '.csv',
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@@ -66,7 +70,10 @@ const Test = ({ datasetId }: { datasetId: string }) => {
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inputText: '',
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searchParams: {
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searchMode: DatasetSearchModeEnum.embedding,
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embeddingWeight: 0.5,
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usingReRank: false,
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rerankModel: defaultModels?.rerank?.model,
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rerankWeight: 0.5,
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limit: 5000,
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similarity: 0,
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datasetSearchUsingExtensionQuery: false,
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@@ -77,6 +84,7 @@ const Test = ({ datasetId }: { datasetId: string }) => {
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});
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const searchModeData = DatasetSearchModeMap[getValues(`searchParams.searchMode`)];
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const searchParams = getValues('searchParams');
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const {
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isOpen: isOpenSelectMode,
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@@ -294,15 +302,14 @@ const Test = ({ datasetId }: { datasetId: string }) => {
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{isOpenSelectMode && (
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<DatasetParamsModal
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{...getValues('searchParams')}
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{...searchParams}
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maxTokens={20000}
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onClose={onCloseSelectMode}
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onSuccess={(e) => {
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setValue('searchParams', {
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...getValues('searchParams'),
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...searchParams,
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...e
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});
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setRefresh((state) => !state);
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}}
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/>
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)}
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@@ -16,6 +16,7 @@ import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
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import { CommonErrEnum } from '@fastgpt/global/common/error/code/common';
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import { useIPFrequencyLimit } from '@fastgpt/service/common/middle/reqFrequencyLimit';
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import { ApiRequestProps } from '@fastgpt/service/type/next';
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import { getRerankModel } from '@fastgpt/service/core/ai/model';
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async function handler(req: ApiRequestProps<SearchTestProps>): Promise<SearchTestResponse> {
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const {
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@@ -24,7 +25,11 @@ async function handler(req: ApiRequestProps<SearchTestProps>): Promise<SearchTes
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limit = 1500,
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similarity,
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searchMode,
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embeddingWeight,
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usingReRank,
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rerankModel,
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rerankWeight,
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datasetSearchUsingExtensionQuery = false,
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datasetSearchExtensionModel,
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@@ -63,7 +68,10 @@ async function handler(req: ApiRequestProps<SearchTestProps>): Promise<SearchTes
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similarity,
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datasetIds: [datasetId],
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searchMode,
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usingReRank: usingReRank && (await checkTeamReRankPermission(teamId))
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embeddingWeight,
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usingReRank: usingReRank && (await checkTeamReRankPermission(teamId)),
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rerankModel: getRerankModel(rerankModel),
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rerankWeight
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};
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const { searchRes, tokens, queryExtensionResult, deepSearchResult, ...result } = datasetDeepSearch
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? await deepRagSearch({
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@@ -268,6 +268,13 @@ export function form2AppWorkflow(
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valueType: WorkflowIOValueTypeEnum.string,
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value: formData.dataset.searchMode
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},
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{
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key: NodeInputKeyEnum.datasetSearchEmbeddingWeight,
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renderTypeList: [FlowNodeInputTypeEnum.hidden],
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label: '',
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valueType: WorkflowIOValueTypeEnum.number,
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value: formData.dataset.embeddingWeight
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},
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{
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key: NodeInputKeyEnum.datasetSearchUsingReRank,
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renderTypeList: [FlowNodeInputTypeEnum.hidden],
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