HR-focused automation pipeline with AI
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": "t1P14FvfibKYCh3E",
"meta": {
"instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
"templateCredsSetupCompleted": true
},
"name": "HR-focused automation pipeline with AI",
"tags": [],
"nodes": [
{
"id": "b1092f93-502c-4af0-962e-2b69311b92a3",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-520,
-200
],
"webhookId": "2a87705d-8ba1-41f1-80ef-85f364ce253e",
"parameters": {
"options": {},
"formTitle": "Send CV",
"formFields": {
"values": [
{
"fieldLabel": "Name",
"placeholder": "Name",
"requiredField": true
},
{
"fieldType": "email",
"fieldLabel": "Email",
"placeholder": "Email",
"requiredField": true
},
{
"fieldType": "file",
"fieldLabel": "CV",
"requiredField": true,
"acceptFileTypes": ".pdf"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "77edfe2a-4c6a-48c8-8dc9-b275491be090",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-160,
-200
],
"parameters": {
"options": {},
"operation": "pdf",
"binaryPropertyName": "CV"
},
"typeVersion": 1
},
{
"id": "ebf2e194-3515-4c0a-8745-790b63bf336f",
"name": "Qualifications",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
160,
-100
],
"parameters": {
"text": "={{ $json.text }}",
"options": {
"systemPromptTemplate": "You are an expert extraction algorithm.
Only extract relevant information from the text.
If you do not know the value of an attribute asked to extract, you may omit the attribute's value."
},
"attributes": {
"attributes": [
{
"name": "Educational qualification",
"required": true,
"description": "Summary of your academic career. Focus on your high school and university studies. Summarize in 100 words maximum and also include your grade if applicable."
},
{
"name": "Job History",
"required": true,
"description": "Work history summary. Focus on your most recent work experiences. Summarize in 100 words maximum"
},
{
"name": "Skills",
"required": true,
"description": "Extract the candidate’s technical skills. What software and frameworks they are proficient in. Make a bulleted list."
}
]
}
},
"typeVersion": 1
},
{
"id": "4f40404c-1d47-4bde-9b4b-16367cf11e4f",
"name": "Summarization Chain",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
900,
-220
],
"parameters": {
"options": {
"summarizationMethodAndPrompts": {
"values": {
"prompt": "=Write a concise summary of the following:
City: {{ $json.output.city }}
Birthdate: {{ $json.output.birthdate }}
Educational qualification: {{ $json.output[\"Educational qualification\"] }}
Job History: {{ $json.output[\"Job History\"] }}
Skills: {{ $json.output.Skills }}
Use 100 words or less. Be concise and conversational.",
"combineMapPrompt": "=Write a concise summary of the following:
City: {{ $json.output.city }}
Birthdate: {{ $json.output.birthdate }}
Educational qualification: {{ $json.output[\"Educational qualification\"] }}
Job History: {{ $json.output[\"Job History\"] }}
Skills: {{ $json.output.Skills }}
Use 100 words or less. Be concise and conversational."
}
}
}
},
"typeVersion": 2
},
{
"id": "9f9c5f16-1dc2-4928-aef8-284daeb6be51",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
660,
-220
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3
},
{
"id": "51bd14cc-2c54-4f72-b162-255f7e277aff",
"name": "Profile Wanted",
"type": "n8n-nodes-base.set",
"position": [
1300,
-220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a3d049b0-5a70-4e7b-a6f2-81447da5282a",
"name": "profile_wanted",
"type": "string",
"value": "We are a web agency and we are looking for a full-stack web developer who knows how to use PHP, Python and Javascript. He has experience in the sector and lives in Northern Italy."
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4a120e5d-b849-4a29-b7f3-12c653552367",
"name": "Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
1960,
-220
],
"parameters": {
"columns": {
"value": {
"CITY": "={{ $('Merge').item.json.output.city }}",
"DATA": "={{ $now.format('dd/LL/yyyy') }}",
"NAME": "={{ $('On form submission').item.json.Nome }}",
"VOTE": "={{ $json.output.vote }}",
"EMAIL": "={{ $('On form submission').item.json.Email }}",
"SKILLS": "={{ $('Merge').item.json.output.Skills }}",
"TELEFONO": "={{ $('Merge').item.json.output.telephone }}",
"SUMMARIZE": "={{ $('Summarization Chain').item.json.response.text }}",
"EDUCATIONAL": "={{ $('Merge').item.json.output[\"Educational qualification\"] }}",
"JOB HISTORY": "={{ $('Merge').item.json.output[\"Job History\"] }}",
"DATA NASCITA": "={{ $('Merge').item.json.output.birthdate }}",
"CONSIDERATION": "={{ $json.output.consideration }}"
},
"schema": [
{
"id": "DATA",
"type": "string",
"display": true,
"required": false,
"displayName": "DATA",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "NAME",
"type": "string",
"display": true,
"required": false,
"displayName": "NAME",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "PHONE",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "PHONE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CITY",
"type": "string",
"display": true,
"required": false,
"displayName": "CITY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "EMAIL",
"type": "string",
"display": true,
"required": false,
"displayName": "EMAIL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "DATA NASCITA",
"type": "string",
"display": true,
"required": false,
"displayName": "DATA NASCITA",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "EDUCATIONAL",
"type": "string",
"display": true,
"required": false,
"displayName": "EDUCATIONAL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "JOB HISTORY",
"type": "string",
"display": true,
"required": false,
"displayName": "JOB HISTORY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "SKILLS",
"type": "string",
"display": true,
"required": false,
"displayName": "SKILLS",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "SUMMARIZE",
"type": "string",
"display": true,
"required": false,
"displayName": "SUMMARIZE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "VOTE",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "VOTE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CONSIDERATION",
"type": "string",
"display": true,
"required": false,
"displayName": "CONSIDERATION",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit#gid=0",
"cachedResultName": "Foglio1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ssz5RvN1Hr20Q31pnYnbjCLu1MGBvoLttBAjXunMRQE/edit?usp=drivesdk",
"cachedResultName": "Ricerca WebDev"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "JYR6a64Qecd6t8Hb",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "a154d8a5-9f85-45bb-b082-f702c13c3507",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1720,
-20
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{
\"type\": \"object\",
\"properties\": {
\"vote\": {
\"type\": \"string\"
},
\"consideration\": {
\"type\": \"string\"
}
}
}"
},
"typeVersion": 1.2
},
{
"id": "037ac851-7885-4b78-ac75-dfa0ebb6003d",
"name": "HR Expert",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1560,
-220
],
"parameters": {
"text": "=Profilo ricercato:
{{ $json.profile_wanted }}
Candidato:
{{ $('Summarization Chain').item.json.response.text }}",
"messages": {
"messageValues": [
{
"message": "Sei un esperto HR e devi capire se il candidato è in linea con il profilo ricercato dall'azienda.
Devi dare un voto da 1 a 10 dove 1 significa che il candidato non è in linea con quanto richiesto mentre 10 significa che è il candidato ideale perchè rispecchia in toto il profilo cercato.
Inoltre nel campo \"consideration\" motiva il perchè hai dato quel voto. "
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "ed5744c4-df06-4a01-a103-af4dd470d482",
"name": "Personal Data",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
160,
-280
],
"parameters": {
"text": "={{ $json.text }}",
"options": {
"systemPromptTemplate": "You are an expert extraction algorithm.
Only extract relevant information from the text.
If you do not know the value of an attribute asked to extract, you may omit the attribute's value."
},
"schemaType": "manual",
"inputSchema": "{
\"type\": \"object\",
\"properties\": {
\"telephone\": {
\"type\": \"string\"
},
\"city\": {
\"type\": \"string\"
},
\"birthdate\": {
\"type\": \"string\"
}
}
}"
},
"typeVersion": 1
},
{
"id": "181c1249-b05c-4c35-8cac-5f9738cc1fe6",
"name": "Upload CV",
"type": "n8n-nodes-base.googleDrive",
"position": [
-160,
-380
],
"parameters": {
"name": "=CV-{{ $now.format('yyyyLLdd') }}-{{ $json.CV[0].filename }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV",
"cachedResultUrl": "https://drive.google.com/drive/folders/1tzeSpx4D3EAGXa3Wg-gqGbdaUk6LIZTV",
"cachedResultName": "CV"
},
"inputDataFieldName": "CV"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "d31ee1c4-e4be-41d9-8f36-e6fb797ced8e",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
920,
240
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "CDX6QM4gLYanh0P4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "0290cb72-a581-4aff-8b5d-1aa63e0a630f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-560,
-680
],
"parameters": {
"color": 3,
"width": 540,
"content": "## HR Expert
This workflow automates the process of handling job applications by extracting relevant information from submitted CVs, analyzing the candidate's qualifications against a predefined profile, and storing the results in a Google Sheet"
},
"typeVersion": 1
},
{
"id": "361084ff-9735-4a56-8988-be573391838b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-460
],
"parameters": {
"width": 300,
"height": 420,
"content": "The CV is uploaded to Google Drive and converted so that it can be processed
"
},
"typeVersion": 1
},
{
"id": "4b6f004f-c77b-4522-99d4-737a68f6cfac",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
-380
],
"parameters": {
"width": 360,
"height": 440,
"content": "The essential information for evaluating the candidate is collected in two different chains"
},
"typeVersion": 1
},
{
"id": "73e11af9-65e3-4fcd-bb99-8a3f212ce9fb",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
860,
-300
],
"parameters": {
"width": 320,
"height": 240,
"content": "Summary of relevant information useful for classifying the candidate"
},
"typeVersion": 1
},
{
"id": "606711d1-8e6d-44b3-91ac-c047d8a4054f",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
-300
],
"parameters": {
"width": 220,
"height": 240,
"content": "Characteristics of the profile sought by the company that intends to hire the candidate"
},
"typeVersion": 1
},
{
"id": "89c3210c-c599-41dc-97a3-bf8df2beb751",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1500,
-300
],
"parameters": {
"width": 360,
"height": 240,
"content": "Candidate evaluation with vote and considerations of the HR agent relating the profile sought with the candidate's skills"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "594728c0-b842-404d-8810-c6f7f3f4631d",
"connections": {
"Merge": {
"main": [
[
{
"node": "Summarization Chain",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"ai_languageModel": [
[
{
"node": "Qualifications",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Summarization Chain",
"type": "ai_languageModel",
"index": 0
},
{
"node": "HR Expert",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Personal Data",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"HR Expert": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Upload CV": {
"main": [
[]
]
},
"Personal Data": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Profile Wanted": {
"main": [
[
{
"node": "HR Expert",
"type": "main",
"index": 0
}
]
]
},
"Qualifications": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Qualifications",
"type": "main",
"index": 0
},
{
"node": "Personal Data",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
},
{
"node": "Upload CV",
"type": "main",
"index": 0
}
]
]
},
"Summarization Chain": {
"main": [
[
{
"node": "Profile Wanted",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "HR Expert",
"type": "ai_outputParser",
"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
- Formtrigger
- Extractfromfile
- @N8N/N8N Nodes Langchain.Informationextractor
- @N8N/N8N Nodes Langchain.Chainsummarization
- Merge
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