Vector DB Loader from Google Drive
工作流概述
这是一个包含15个节点的复杂工作流,主要用于自动化处理各种任务。
工作流源代码
{
"id": "WceMkVib0VLlF1BZ",
"meta": {
"instanceId": "ecc960f484e18b0e09045fd93acf0d47f4cfff25cc212ea348a08ac3aae81850",
"templateCredsSetupCompleted": true
},
"name": "Vector DB Loader from Google Drive",
"tags": [
{
"id": "6rb8rVhKZj4t0Kne",
"name": "Current",
"createdAt": "2025-02-04T18:13:17.427Z",
"updatedAt": "2025-02-04T18:13:17.427Z"
}
],
"nodes": [
{
"id": "6652e41a-d14a-4e17-9dcd-34df114d219a",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1240,
1100
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "8ae38b72-52fd-46bc-ab47-50bebe5ac4ee",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1320,
1300
],
"parameters": {
"options": {},
"chunkOverlap": 50
},
"typeVersion": 1
},
{
"id": "57ce64af-88d4-4dc4-8c8e-01717c1bd47d",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1120,
1100
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "fzLcLisovaZjIqma",
"name": "AlexK OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "e6bed8bc-f629-41fd-aa6e-9158b1cbc323",
"name": "Postgres PGVector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
"position": [
1140,
880
],
"parameters": {
"mode": "insert",
"options": {
"collection": {
"values": {
"useCollection": true,
"collectionName": "n8n_wfs"
}
}
},
"tableName": "n8n_vectors_wfs"
},
"credentials": {
"postgres": {
"id": "UkNm7VVkmuXOwMVa",
"name": "KBB Postgres account"
}
},
"typeVersion": 1.1
},
{
"id": "96fbc1f3-920d-44c9-9314-742efa3a698a",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-280,
740
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4cd7a934-04cc-47b5-a771-db554680ba77",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
160,
740
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "778593d8-fe1c-4eb9-865a-e6ce9ed5f900",
"name": "Move File",
"type": "n8n-nodes-base.googleDrive",
"position": [
1500,
880
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Loop Over Items').item.json.id }}"
},
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1Re6vg-PZxBoUU6sTRDbGs-77bAJ40u8F",
"cachedResultUrl": "https://drive.google.com/drive/folders/1Re6vg-PZxBoUU6sTRDbGs-77bAJ40u8F",
"cachedResultName": "vectorized"
},
"operation": "move"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "kxXwhBLKOmB8CkBW",
"name": "AlexK Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "3a6584f5-ed86-4900-9177-40ffe82d0ad3",
"name": "Download File",
"type": "n8n-nodes-base.googleDrive",
"position": [
380,
680
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "kxXwhBLKOmB8CkBW",
"name": "AlexK Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "e1931ab6-4391-46c3-9d7d-22cbfbf90327",
"name": "Search Folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
-60,
740
],
"parameters": {
"filter": {
"folderId": {
"__rl": true,
"mode": "list",
"value": "1mBHrP8UzUnfn3dj_3QS1r0XhQQyVPAGX",
"cachedResultUrl": "https://drive.google.com/drive/folders/1mBHrP8UzUnfn3dj_3QS1r0XhQQyVPAGX",
"cachedResultName": "n8n Workflow JSON Files"
},
"whatToSearch": "files"
},
"options": {},
"resource": "fileFolder",
"returnAll": true
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "kxXwhBLKOmB8CkBW",
"name": "AlexK Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "95134ab4-806f-4c47-96a6-e261b3176ebf",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-280,
940
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 3
}
]
}
},
"typeVersion": 1.2
},
{
"id": "0fe604ed-e886-4aa3-856f-c46fb79ce0de",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1700,
960
],
"parameters": {
"color": 7,
"width": 380,
"height": 240,
"content": "## Creative Commons License
*License*: **Creative Commons Attribution-ShareAlike 4.0 International** (CC BY-SA 4.0)
*Author*: **AlexK1919**
You are free to use, adapt, and share this workflow—even commercially—under the terms of this license.
Full license details: https://creativecommons.org/licenses/by-sa/4.0/"
},
"typeVersion": 1
},
{
"id": "f8055452-b487-46c7-92fe-14b3c88d193f",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
560,
680
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "pdf",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7b4e792b-ab6d-4b9b-88a1-d8e51bea6853",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "09b7d7c5-5353-4719-b4e2-072e4da39948",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "text/plain"
}
]
},
"renameOutput": true
},
{
"outputKey": "json",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d2763a45-a592-47c8-868f-59dfcd17a71c",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary[\"data\"].mimeType}}",
"rightValue": "application/json"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "c704f48e-a1f5-4539-bde2-545862d21bc6",
"name": "Extract from PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
780,
480
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "63b3a751-5726-4821-8379-72af15226584",
"name": "Extract from Text",
"type": "n8n-nodes-base.extractFromFile",
"position": [
780,
680
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "44a5980a-17aa-4a09-8040-a7d9804c7998",
"name": "Extract from JSON",
"type": "n8n-nodes-base.extractFromFile",
"position": [
780,
880
],
"parameters": {
"options": {},
"operation": "fromJson"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"timezone": "America/Los_Angeles",
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": "lYgdNzdEapw2W8gK",
"executionOrder": "v1"
},
"versionId": "4f54c70a-b18b-4e4c-8959-ace70dd41218",
"connections": {
"Switch": {
"main": [
[
{
"node": "Extract from PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from Text",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from JSON",
"type": "main",
"index": 0
}
]
]
},
"Move File": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Download File": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Search Folder": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Download File",
"type": "main",
"index": 0
}
]
]
},
"Extract from PDF": {
"main": [
[
{
"node": "Postgres PGVector Store",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Search Folder",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Postgres PGVector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract from JSON": {
"main": [
[
{
"node": "Postgres PGVector Store",
"type": "main",
"index": 0
}
]
]
},
"Extract from Text": {
"main": [
[
{
"node": "Postgres PGVector Store",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Postgres PGVector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Postgres PGVector Store": {
"main": [
[
{
"node": "Move File",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Search Folder",
"type": "main",
"index": 0
}
]
]
}
}
}
功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- @N8N/N8N Nodes Langchain.Documentdefaultdataloader
- @N8N/N8N Nodes Langchain.Textsplitterrecursivecharactertextsplitter
- @N8N/N8N Nodes Langchain.Embeddingsopenai
- @N8N/N8N Nodes Langchain.Vectorstorepgvector
- Manualtrigger
复杂度评估
配置难度:
维护难度:
扩展性:
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器(可选)
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制:
- 网络超时自动重试(最多3次)
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作