RAG Workflow For Company Documents stored in Google Drive
工作流概述
这是一个包含18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": "7cXvgkl9170QXzT2",
"meta": {
"instanceId": "69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d",
"templateCredsSetupCompleted": true
},
"name": "RAG Workflow For Company Documents stored in Google Drive",
"tags": [],
"nodes": [
{
"id": "753455a3-ddc8-4a74-b043-70a0af38ff9e",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
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"parameters": {
"mode": "insert",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "company-files",
"cachedResultName": "company-files"
}
},
"credentials": {
"pineconeApi": {
"id": "bQTNry52ypGLqt47",
"name": "PineconeApi account"
}
},
"typeVersion": 1
},
{
"id": "a7c8fa7f-cad2-4497-a295-30aa2e98cacc",
"name": "Embeddings Google Gemini",
"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
"position": [
640,
280
],
"parameters": {
"modelName": "models/text-embedding-004"
},
"credentials": {
"googlePalmApi": {
"id": "jLOqyTR4yTT1nYKi",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "215f0519-4359-4e4b-a90c-7e54b1cc52b5",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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],
"parameters": {
"options": {},
"dataType": "binary",
"binaryMode": "specificField"
},
"typeVersion": 1
},
{
"id": "863d3d1d-1621-406e-8320-688f64b07b09",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
820,
420
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "5af1efb1-ea69-466e-bb3b-2b7e6b1ceef7",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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],
"parameters": {
"options": {
"systemMessage": "You are a helpful HR assistant designed to answer employee questions based on company policies.
Retrieve relevant information from the provided internal documents and provide a concise, accurate, and informative answer to the employee's question.
Use the tool called \"company_documents_tool\" to retrieve any information from the company's documents.
If the answer cannot be found in the provided documents, respond with \"I cannot find the answer in the available resources.\""
}
},
"typeVersion": 1.7
},
{
"id": "825632ac-1edf-4e63-948d-b1a498b2b962",
"name": "Vector Store Tool",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
820,
1060
],
"parameters": {
"name": "company_documents_tool",
"description": "Retrieve information from any company documents"
},
"typeVersion": 1
},
{
"id": "72d2f685-bcc3-4e62-a5e3-72c0fe65f8e8",
"name": "Pinecone Vector Store (Retrieval)",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
720,
1240
],
"parameters": {
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "company-files",
"cachedResultName": "company-files"
}
},
"credentials": {
"pineconeApi": {
"id": "bQTNry52ypGLqt47",
"name": "PineconeApi account"
}
},
"typeVersion": 1
},
{
"id": "eeff81cb-6aec-4e7f-afe0-432d87085fb2",
"name": "Embeddings Google Gemini (retrieval)",
"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
"position": [
700,
1400
],
"parameters": {
"modelName": "models/text-embedding-004"
},
"credentials": {
"googlePalmApi": {
"id": "jLOqyTR4yTT1nYKi",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "8bb6ebb1-1deb-498b-8da4-b809a736e097",
"name": "Download File From Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
460,
0
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"fileName": "={{ $json.name }}"
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "uixLsi5TmrfwXPeB",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "bd83bacf-dff1-4b7c-af5c-b249fb16c113",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
660
],
"parameters": {
"content": "## Chat with company documents"
},
"typeVersion": 1
},
{
"id": "7b90daab-0fb2-4c8a-93e6-b138bb04f282",
"name": "Google Drive File Updated",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
140,
140
],
"parameters": {
"event": "fileUpdated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
"cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
"cachedResultName": "INNOVI PRO"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "uixLsi5TmrfwXPeB",
"name": "Google Drive account"
}
},
"typeVersion": 1
},
{
"id": "3a6c6cef-7a19-42ef-8092-eaf57dae4cdd",
"name": "Google Drive File Created",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
140,
-120
],
"parameters": {
"event": "fileCreated",
"options": {
"fileType": "all"
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
"cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
"cachedResultName": "INNOVI PRO"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "uixLsi5TmrfwXPeB",
"name": "Google Drive account"
}
},
"typeVersion": 1
},
{
"id": "1e38f1c8-7bd0-4eeb-addc-62339582d350",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
500,
1140
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "4b0ab858-99b1-4337-8c5c-a223519e3662",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
80,
840
],
"webhookId": "5f1c0c82-0ff9-40c7-9e2e-b1a96ffe24cd",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "bfb684d1-e5c1-41da-8305-b2606a2eade6",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
-240
],
"parameters": {
"width": 320,
"content": "## Add docuemnts to vector store when updating or creating new documents in Google Drive"
},
"typeVersion": 1
},
{
"id": "8f627ec6-4b3f-43ad-a4a3-e2b199a7fe58",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
320,
1140
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "jLOqyTR4yTT1nYKi",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "f2133a06-0088-46de-9f74-a3f9fe478f98",
"name": "Google Gemini Chat Model (retrieval)",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1080,
1240
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "jLOqyTR4yTT1nYKi",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "578deb96-8393-4850-9757-fa97b2bc9992",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-540,
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],
"parameters": {
"width": 420,
"height": 720,
"content": "## Set up steps
1. Google Cloud Project and Vertex AI API:
* Create a Google Cloud project.
* Enable the Vertex AI API for your project.
2. Google AI API Key:
* Obtain a Google AI API key from Google AI Studio.
3. Pinecone Account:
* Create a free account on the Pinecone website.
Obtain your API key from your Pinecone dashboard.
* Create an index named company-files in your Pinecone project.
4. Google Drive:
* Create a dedicated folder in your Google Drive where company documents will be stored.
5. Credentials in n8n: Configure credentials in your n8n environment for:
* Google Drive OAuth2
* Google Gemini(PaLM) Api (using your Google AI API key)
* Pinecone API (using your Pinecone API key)
5. Import the Workflow:
* Import this workflow into your n8n instance.
6. Configure the Workflow:
* Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive.
* Configure the Pinecone Vector Store nodes to use your company-files index."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "33b252fb-5d87-4a29-a0a7-97308140699c",
"connections": {
"AI Agent": {
"main": [
[]
]
},
"Vector Store Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"main": [
[]
]
},
"Embeddings Google Gemini": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Drive File Created": {
"main": [
[
{
"node": "Download File From Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Google Drive File Updated": {
"main": [
[
{
"node": "Download File From Google Drive",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Download File From Google Drive": {
"main": [
[
{
"node": "Pinecone Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Pinecone Vector Store (Retrieval)": {
"ai_vectorStore": [
[
{
"node": "Vector Store Tool",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings Google Gemini (retrieval)": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store (Retrieval)",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Google Gemini Chat Model (retrieval)": {
"ai_languageModel": [
[
{
"node": "Vector Store Tool",
"type": "ai_languageModel",
"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.Vectorstorepinecone
- @N8N/N8N Nodes Langchain.Embeddingsgooglegemini
- @N8N/N8N Nodes Langchain.Documentdefaultdataloader
- @N8N/N8N Nodes Langchain.Textsplitterrecursivecharactertextsplitter
- @N8N/N8N Nodes Langchain.Agent
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