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feat: add AI embedding dimension configuration

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This commit is contained in:
shiyu
2025-09-17 14:26:53 +08:00
parent 626ff727b3
commit 1a79e87887
6 changed files with 78 additions and 10 deletions
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3
web/src/i18n/locales/en.ts
View File

@@ -202,9 +202,12 @@ export const en = {
'AI Settings': 'AI Settings',
'Vision Model': 'Vision Model',
'Embedding Model': 'Embedding Model',
'Embedding Dimension': 'Embedding Dimension',
'Vector Database': 'Vector Database',
'Vector Database Settings': 'Vector Database Settings',
'Database Type': 'Database Type',
'Confirm embedding dimension change': 'Confirm embedding dimension change',
'Changing the embedding dimension will clear the vector database automatically. You will need to rebuild indexes afterwards. Continue?': 'Changing the embedding dimension will clear the vector database automatically. You will need to rebuild indexes afterwards. Continue?',
'Confirm clear vector database?': 'Confirm clear vector database?',
'This will delete all collections irreversibly.': 'This will delete all collections irreversibly.',
'Confirm Clear': 'Confirm Clear',

3
web/src/i18n/locales/zh.ts
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@@ -204,9 +204,12 @@ export const zh = {
'AI Settings': 'AI设置',
'Vision Model': '视觉模型',
'Embedding Model': '嵌入模型',
'Embedding Dimension': '向量维度',
'Vector Database': '向量数据库',
'Vector Database Settings': '向量数据库设置',
'Database Type': '数据库类型',
'Confirm embedding dimension change': '确认修改向量维度',
'Changing the embedding dimension will clear the vector database automatically. You will need to rebuild indexes afterwards. Continue?': '修改向量维度会自动清空向量数据库，之后需要重建索引，是否继续？',
'Confirm clear vector database?': '确认清空向量数据库？',
'This will delete all collections irreversibly.': '此操作将删除所有集合中的所有数据，且不可逆。',
'Confirm Clear': '确认清空',

30
web/src/pages/SystemSettingsPage/SystemSettingsPage.tsx
View File

@@ -21,13 +21,16 @@ const VISION_CONFIG_KEYS = [
{ key: 'AI_VISION_API_KEY', label: 'Vision API Key' },
];
const DEFAULT_EMBED_DIMENSION = 4096;
const EMBED_DIM_KEY = 'AI_EMBED_DIM';
const EMBED_CONFIG_KEYS = [
{ key: 'AI_EMBED_API_URL', label: 'Embedding API URL' },
{ key: 'AI_EMBED_MODEL', label: 'Embedding Model', default: 'Qwen/Qwen3-Embedding-8B' },
{ key: 'AI_EMBED_API_KEY', label: 'Embedding API Key' },
];
const ALL_AI_KEYS = [...VISION_CONFIG_KEYS, ...EMBED_CONFIG_KEYS];
const ALL_AI_KEYS = [...VISION_CONFIG_KEYS, ...EMBED_CONFIG_KEYS, { key: EMBED_DIM_KEY, default: DEFAULT_EMBED_DIMENSION }];
// Theme related config keys
const THEME_KEYS = {
@@ -213,9 +216,27 @@ export default function SystemSettingsPage() {
<Form
layout="vertical"
initialValues={{
...Object.fromEntries(ALL_AI_KEYS.map(({ key, default: def }) => [key, config[key] ?? def ?? ''])),
...Object.fromEntries(ALL_AI_KEYS.map(({ key, default: def }) => [key, key === EMBED_DIM_KEY
? Number(config[key] ?? def ?? DEFAULT_EMBED_DIMENSION)
: config[key] ?? def ?? ''])),
}}
onFinish={async (vals) => {
const currentDim = Number(config[EMBED_DIM_KEY] ?? DEFAULT_EMBED_DIMENSION);
const nextDim = Number(vals[EMBED_DIM_KEY] ?? DEFAULT_EMBED_DIMENSION);
if (currentDim !== nextDim) {
Modal.confirm({
title: t('Confirm embedding dimension change'),
content: t('Changing the embedding dimension will clear the vector database automatically. You will need to rebuild indexes afterwards. Continue?'),
okText: t('Confirm'),
cancelText: t('Cancel'),
onOk: async () => {
await handleSave(vals);
},
});
return;
}
await handleSave(vals);
}}
onFinish={handleSave}
style={{ marginTop: 24 }}
key={JSON.stringify(config)}
>
@@ -232,6 +253,9 @@ export default function SystemSettingsPage() {
<Input size="large" />
</Form.Item>
))}
<Form.Item name={EMBED_DIM_KEY} label={t('Embedding Dimension')}>
<InputNumber min={1} max={32768} style={{ width: '100%' }} />
</Form.Item>
</Card>
<Form.Item style={{ marginTop: 24 }}>
<Button type="primary" htmlType="submit" loading={loading} block>