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feat(vector_db): Implement Vector Database Service with multiple providers

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shiyu
2025-09-19 13:45:48 +08:00
parent 0a06f4d02c
commit fbeb673126
19 changed files with 1496 additions and 142 deletions
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26
web/src/i18n/locales/en.ts
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@@ -205,6 +205,32 @@ export const en = {
'Embedding Dimension': 'Embedding Dimension',
'Vector Database': 'Vector Database',
'Vector Database Settings': 'Vector Database Settings',
'Current Statistics': 'Current Statistics',
'Collections': 'Collections',
'Vectors': 'Vectors',
'Database Size': 'Database Size',
'Estimated Memory': 'Estimated Memory',
'No collections': 'No collections',
'Dimension': 'Dimension',
'Non-vector collection': 'Non-vector collection',
'Estimated memory': 'Estimated memory',
'Indexes': 'Indexes',
'Unnamed index': 'Unnamed index',
'Indexed rows': 'Indexed rows',
'Pending rows': 'Pending rows',
'Estimated memory is calculated as vectors x dimension x 4 bytes (float32).': 'Estimated memory is calculated as vectors x dimension x 4 bytes (float32).',
'Database Provider': 'Database Provider',
'Please select a provider': 'Please select a provider',
'Coming soon': 'Coming soon',
'This provider is not available yet': 'This provider is not available yet',
'Database file path': 'Database file path',
'Server URI': 'Server URI',
'Token': 'Token',
'Server URL': 'Server URL',
'API Key': 'API Key',
'Embedded Milvus Lite (local file storage).': 'Embedded Milvus Lite (local file storage).',
'Remote Milvus instance accessed via URI.': 'Remote Milvus instance accessed via URI.',
'Qdrant vector database (HTTP API).': 'Qdrant vector database (HTTP API).',
'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?',

26
web/src/i18n/locales/zh.ts
View File

@@ -207,6 +207,32 @@ export const zh = {
'Embedding Dimension': '向量维度',
'Vector Database': '向量数据库',
'Vector Database Settings': '向量数据库设置',
'Current Statistics': '当前统计',
'Collections': '集合',
'Vectors': '向量',
'Database Size': '数据库大小',
'Estimated Memory': '估算内存',
'No collections': '暂无集合',
'Dimension': '维度',
'Non-vector collection': '非向量集合',
'Estimated memory': '估算内存',
'Indexes': '索引',
'Unnamed index': '未命名索引',
'Indexed rows': '已索引行数',
'Pending rows': '待索引行数',
'Estimated memory is calculated as vectors x dimension x 4 bytes (float32).': '估算内存 = 向量数量 x 维度 x 4 字节（float32）。',
'Database Provider': '数据库提供者',
'Please select a provider': '请选择提供者',
'Coming soon': '敬请期待',
'This provider is not available yet': '该提供者暂不可用',
'Database file path': '数据库文件路径',
'Server URI': '服务器 URI',
'Token': '令牌',
'Server URL': '服务器地址',
'API Key': 'API Key',
'Embedded Milvus Lite (local file storage).': '嵌入式 Milvus Lite，本地文件存储。',
'Remote Milvus instance accessed via URI.': '通过 URI 访问的远程 Milvus 实例。',
'Qdrant vector database (HTTP API).': 'Qdrant 向量数据库（HTTP API）。',
'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？',