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fix(web): knowledge config

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This commit is contained in:
zhaoying
2026-04-29 12:27:04 +08:00
parent 6197d698a2
commit b0a4f9fa18
4 changed files with 62 additions and 59 deletions
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12
web/src/i18n/en.ts
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@@ -1281,13 +1281,13 @@ export const en = {
hybrid: 'Hybrid Retrieval', hybrid: 'Hybrid Retrieval',
graph: 'Graph Retrieval', graph: 'Graph Retrieval',
similarity_threshold: 'Semantic similarity threshold', vector_similarity_weight: 'Semantic similarity threshold',
similarity_threshold_desc: 'Only return results with semantic similarity higher than this threshold', vector_similarity_weight_desc: 'Only return results with semantic similarity higher than this threshold',
similarity_threshold_desc1: 'The minimum similarity threshold for semantic retrieval', vector_similarity_weight_desc1: 'The minimum similarity threshold for semantic retrieval',
vector_similarity_weight: 'Vector Similarity Weight', similarity_threshold: 'Vector Similarity Weight',
vector_similarity_weight_desc: 'Only return results with BM25 scores above this threshold', similarity_threshold_desc: 'Only return results with BM25 scores above this threshold',
vector_similarity_weight_desc1: 'The minimum BM25 score threshold for word segmentation retrieval', similarity_threshold_desc1: 'The minimum BM25 score threshold for word segmentation retrieval',
description: 'Description', description: 'Description',
shareVersion: 'Share Version', shareVersion: 'Share Version',

12
web/src/i18n/zh.ts
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@@ -663,13 +663,13 @@ export const zh = {
hybrid: '混合检索', hybrid: '混合检索',
graph: '图谱检索', graph: '图谱检索',
similarity_threshold: '语义相似度阈值', similarity_threshold: '向量相似度权重',
similarity_threshold_desc: '仅返回语义相似度高于此阈值的结果', similarity_threshold_desc: '仅返回BM25分数高于此阈值的结果',
similarity_threshold_desc1: '语义检索的最小相似度阈值', similarity_threshold_desc1: '分词检索的最小BM25分数阈值',
vector_similarity_weight: '向量相似度权重', vector_similarity_weight: '语义相似度阈值',
vector_similarity_weight_desc: '仅返回BM25分数高于此阈值的结果', vector_similarity_weight_desc: '仅返回语义相似度高于此阈值的结果',
vector_similarity_weight_desc1: '分词检索的最小BM25分数阈值', vector_similarity_weight_desc1: '语义检索的最小相似度阈值',
description: '描述', description: '描述',
shareVersion: '分享版本', shareVersion: '分享版本',

46
web/src/views/ApplicationConfig/components/Knowledge/KnowledgeConfigModal.tsx
View File

@@ -91,7 +91,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
useEffect(() => { useEffect(() => {
if (values?.retrieve_type) { if (values?.retrieve_type) {
const fieldsToReset = Object.keys(values).filter(key => const fieldsToReset = Object.keys(values).filter(key =>
key !== 'kb_id' && key !== 'retrieve_type' && key !== 'top_k' key !== 'kb_id' && key !== 'retrieve_type' && key !== 'top_k'
) as (keyof KnowledgeConfigForm)[]; ) as (keyof KnowledgeConfigForm)[];
form.resetFields(fieldsToReset); form.resetFields(fieldsToReset);
@@ -127,7 +127,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.retrieve_type_desc')} extra={t('application.retrieve_type_desc')}
rules={[{ required: true, message: t('common.pleaseSelect') }]} rules={[{ required: true, message: t('common.pleaseSelect') }]}
> >
<Select <Select
options={retrieveTypes.map(key => ({ options={retrieveTypes.map(key => ({
label: t(`application.${key}`), label: t(`application.${key}`),
@@ -150,33 +150,35 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
onChange={(value) => form.setFieldValue('top_k', value)} onChange={(value) => form.setFieldValue('top_k', value)}
/> />
</FormItem> </FormItem>
{/* Semantic similarity threshold */} {/* Vector similarity weight */}
{values?.retrieve_type === 'semantic' && ( {values?.retrieve_type === 'semantic' && (
<FormItem
name="similarity_threshold"
label={t('application.similarity_threshold')}
extra={t('application.similarity_threshold_desc')}
initialValue={0.5}
>
<RbSlider
max={1.0}
step={0.1}
min={0.0}
/>
</FormItem>
)}
{/* Word segmentation matching threshold */}
{values?.retrieve_type === 'participle' && (
<FormItem <FormItem
name="vector_similarity_weight" name="vector_similarity_weight"
label={t('application.vector_similarity_weight')} label={t('application.vector_similarity_weight')}
extra={t('application.vector_similarity_weight_desc')} extra={t('application.vector_similarity_weight_desc')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}
isInput={true}
/>
</FormItem>
)}
{/* Semantic similarity threshold */}
{values?.retrieve_type === 'participle' && (
<FormItem
name="similarity_threshold"
label={t('application.similarity_threshold')}
extra={t('application.similarity_threshold_desc')}
initialValue={0.5}
>
<RbSlider
max={1.0}
step={0.1}
min={0.0}
isInput={true}
/> />
</FormItem> </FormItem>
)} )}
@@ -189,10 +191,11 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.similarity_threshold_desc1')} extra={t('application.similarity_threshold_desc1')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}
isInput={true}
/> />
</FormItem> </FormItem>
<FormItem <FormItem
@@ -201,10 +204,11 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.vector_similarity_weight_desc1')} extra={t('application.vector_similarity_weight_desc1')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}
isInput={true}
/> />
</FormItem> </FormItem>
</> </>

51
web/src/views/Workflow/components/Properties/Knowledge/KnowledgeConfigModal.tsx
View File

@@ -67,7 +67,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
useEffect(() => { useEffect(() => {
if (values?.retrieve_type) { if (values?.retrieve_type) {
const fieldsToReset = Object.keys(values).filter(key => const fieldsToReset = Object.keys(values).filter(key =>
key !== 'kb_id' && key !== 'retrieve_type' && key !== 'top_k' key !== 'kb_id' && key !== 'retrieve_type' && key !== 'top_k'
) as (keyof KnowledgeConfigForm)[]; ) as (keyof KnowledgeConfigForm)[];
form.resetFields(fieldsToReset); form.resetFields(fieldsToReset);
@@ -91,7 +91,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
<Flex align="center" justify="space-between" className="rb:mb-6! rb-border rb:rounded-lg rb:p-[17px_16px]! rb:cursor-pointer rb:bg-[#F0F3F8] rb:text-[#212332]"> <Flex align="center" justify="space-between" className="rb:mb-6! rb-border rb:rounded-lg rb:p-[17px_16px]! rb:cursor-pointer rb:bg-[#F0F3F8] rb:text-[#212332]">
<div className="rb:text-[16px] rb:leading-5.5"> <div className="rb:text-[16px] rb:leading-5.5">
{data.name} {data.name}
<div className="rb:text-[12px] rb:leading-4 rb:text-[#5B6167] rb:mt-2">{t('application.contains', {include_count: data.doc_num})}</div> <div className="rb:text-[12px] rb:leading-4 rb:text-[#5B6167] rb:mt-2">{t('application.contains', { include_count: data.doc_num })}</div>
</div> </div>
<div className="rb:text-[12px] rb:leading-4 rb:text-[#5B6167]">{formatDateTime(data.updated_at, 'YYYY-MM-DD HH:mm:ss')}</div> <div className="rb:text-[12px] rb:leading-4 rb:text-[#5B6167]">{formatDateTime(data.updated_at, 'YYYY-MM-DD HH:mm:ss')}</div>
</Flex> </Flex>
@@ -104,13 +104,12 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.retrieve_type_desc')} extra={t('application.retrieve_type_desc')}
rules={[{ required: true, message: t('common.pleaseSelect') }]} rules={[{ required: true, message: t('common.pleaseSelect') }]}
> >
<Select <Select
options={retrieveTypes.map(key => ({ options={retrieveTypes.map(key => ({
label: t(`application.${key}`), label: t(`application.${key}`),
value: key, value: key,
}))} }))}
// onChange={handleChange}
/> />
</FormItem> </FormItem>
{/* Top K */} {/* Top K */}
@@ -124,34 +123,18 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
style={{ width: '100%' }} style={{ width: '100%' }}
min={1} min={1}
max={20} max={20}
// onChange={(value) => form.setFieldValue('top_k', value)} onChange={(value) => form.setFieldValue('top_k', value)}
/> />
</FormItem> </FormItem>
{/* 语义相似度阈值 similarity_threshold */} {/* Vector similarity weight */}
{values?.retrieve_type === 'semantic' && ( {values?.retrieve_type === 'semantic' && (
<FormItem
name="similarity_threshold"
label={t('application.similarity_threshold')}
extra={t('application.similarity_threshold_desc')}
initialValue={0.5}
>
<RbSlider
max={1.0}
step={0.1}
min={0.0}
isInput={true}
/>
</FormItem>
)}
{/* 分词匹配度阈值 vector_similarity_weight */}
{values?.retrieve_type === 'participle' && (
<FormItem <FormItem
name="vector_similarity_weight" name="vector_similarity_weight"
label={t('application.vector_similarity_weight')} label={t('application.vector_similarity_weight')}
extra={t('application.vector_similarity_weight_desc')} extra={t('application.vector_similarity_weight_desc')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}
@@ -159,7 +142,23 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
/> />
</FormItem> </FormItem>
)} )}
{/* 混合检索权重 */} {/* similarity threshold */}
{values?.retrieve_type === 'participle' && (
<FormItem
name="similarity_threshold"
label={t('application.similarity_threshold')}
extra={t('application.similarity_threshold_desc')}
initialValue={0.5}
>
<RbSlider
max={1.0}
step={0.1}
min={0.0}
isInput={true}
/>
</FormItem>
)}
{/* Hybrid retrieval weight */}
{values?.retrieve_type === 'hybrid' && ( {values?.retrieve_type === 'hybrid' && (
<> <>
<FormItem <FormItem
@@ -168,7 +167,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.similarity_threshold_desc1')} extra={t('application.similarity_threshold_desc1')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}
@@ -181,7 +180,7 @@ const KnowledgeConfigModal = forwardRef<KnowledgeConfigModalRef, KnowledgeConfig
extra={t('application.vector_similarity_weight_desc1')} extra={t('application.vector_similarity_weight_desc1')}
initialValue={0.5} initialValue={0.5}
> >
<RbSlider <RbSlider
max={1.0} max={1.0}
step={0.1} step={0.1}
min={0.0} min={0.0}