mzaxdandClaude
02cbe59a0c
添加语义搜索能力，支持自然语言查询找到相关项目。 - 数据库：新增 embedding 字段用于向量存储 - 前端：新增 AI 搜索栏和结果组件，支持传统/AI 模式切换 - API：新增 /api/search/ai 端点处理语义搜索请求 - 国际化：添加 AI 搜索相关中英文翻译 - 探索任务：允许 FAILED 状态直接转到 IN_PROGRESS 简化重试 Co-Authored-By: Claude <noreply@anthropic.com>
176 lines
4.4 KiB
JSON
176 lines
4.4 KiB
JSON
{
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"name": "Project Vectorization",
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"nodes": [
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{
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"parameters": {
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"rule": {
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"interval": [
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{
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"field": "minutes",
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"minutesInterval": 5
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}
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]
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}
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},
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"id": "cron-node",
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"name": "Cron",
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"type": "n8n-nodes-base.cron",
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"typeVersion": 1.2,
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"position": [250, 300]
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},
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{
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"parameters": {
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"operation": "executeQuery",
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"query": "SELECT id, name, \"nameEn\", description, \"descriptionEn\", content, \"contentEn\"\nFROM \"projects\"\nWHERE \"embedding\" IS NULL\n AND \"status\" = 'ACTIVE'\nLIMIT 20",
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"options": {}
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},
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"id": "postgres-query",
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"name": "查询未向量化项目",
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"type": "n8n-nodes-base.postgres",
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"typeVersion": 2.5,
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"position": [470, 300],
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"credentials": {
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"postgres": {
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"id": "NEON_DATABASE_CREDENTIAL_ID",
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"name": "Neon Database"
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}
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}
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},
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{
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"parameters": {
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"jsCode": "// 为每个项目构造用于向量化的文本内容\nconst projects = $input.all();\n\nreturn projects.map(item => {\n const project = item.json;\n\n // 合并字段，按权重构造\n const parts = [\n project.name || '',\n project.nameEn || '',\n project.description || '',\n project.descriptionEn || '',\n (project.content || '').substring(0, 500),\n (project.contentEn || '').substring(0, 500)\n ].filter(Boolean);\n\n const textContent = parts.join('\\n\\n');\n\n return {\n json: {\n ...project,\n textContent: textContent\n }\n };\n});"
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},
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"id": "construct-content",
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"name": "构造文本内容",
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"type": "n8n-nodes-base.code",
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"typeVersion": 2,
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"position": [690, 300]
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},
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{
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"parameters": {
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"batchSize": 5,
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"options": {}
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},
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"id": "split-batches",
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"name": "Split in Batches",
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"type": "n8n-nodes-base.splitInBatches",
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"typeVersion": 3,
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"position": [910, 300]
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},
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{
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"parameters": {
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"resource": "embedding",
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"model": "text-embedding-3-small",
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"input": "={{ $json.textContent }}",
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"options": {}
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},
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"id": "openai-embeddings",
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"name": "OpenAI Embeddings",
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"type": "@n8n/n8n-nodes-langchain.openai",
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"typeVersion": 1.4,
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"position": [1130, 300],
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"credentials": {
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"openaiApi": {
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"id": "OPENAI_CREDENTIAL_ID",
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"name": "OpenAI Embeddings"
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}
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}
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},
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{
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"parameters": {
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"operation": "executeQuery",
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"query": "=UPDATE \"projects\"\nSET\n \"embedding\" = '{{ $json.data[0].embedding }}'::vector,\n \"embeddingUpdatedAt\" = NOW()\nWHERE \"id\" = {{ $json.id }}",
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"options": {}
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},
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"id": "postgres-update",
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"name": "更新 Embedding",
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"type": "n8n-nodes-base.postgres",
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"typeVersion": 2.5,
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"position": [1350, 300],
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"credentials": {
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"postgres": {
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"id": "NEON_DATABASE_CREDENTIAL_ID",
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"name": "Neon Database"
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}
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}
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}
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],
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"connections": {
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"Cron": {
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"main": [
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[
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{
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"node": "查询未向量化项目",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"查询未向量化项目": {
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"main": [
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[
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{
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"node": "构造文本内容",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"构造文本内容": {
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"main": [
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[
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{
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"node": "Split in Batches",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Split in Batches": {
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"main": [
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[
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{
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"node": "OpenAI Embeddings",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"OpenAI Embeddings": {
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"main": [
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[
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{
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"node": "更新 Embedding",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"更新 Embedding": {
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"main": [
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[
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{
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"node": "Split in Batches",
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"type": "main",
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"index": 0
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}
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]
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]
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}
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},
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"pinData": {},
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"settings": {
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"executionOrder": "v1"
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},
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"staticData": null,
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"tags": [],
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"triggerCount": 0,
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"updatedAt": "2026-01-26T00:00:00.000Z",
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"versionId": "1"
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}
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