使用Groq AI和Pinecone的自动邮件分类与回复系统
高级
这是一个Ticket Management, AI Summarization领域的自动化工作流，包含 38 个节点。主要使用 Code, Switch, Twitter, EmailSend, HttpRequest 等节点。 使用Groq AI和Pinecone的自动邮件分类与回复系统
前置要求
- •Twitter API 凭证
- •可能需要目标 API 的认证凭证
- •Pinecone API Key
使用的节点 (38)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
"instanceId": "4ec72f345837e652f6ec393f7f7457d09446df2a23a7c6ffddff8265d46e2be9"
},
"nodes": [
{
"id": "8befe960-178d-4983-b962-7487817baed4",
"name": "邮件触发器（IMAP）",
"type": "n8n-nodes-base.emailReadImap",
"position": [
-1900,
1100
],
"parameters": {
"options": {},
"downloadAttachments": true
},
"typeVersion": 2
},
{
"id": "29a32c21-8f26-4d64-9a43-875ddd566c72",
"name": "开关1",
"type": "n8n-nodes-base.switch",
"position": [
-1460,
1016
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "hr",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bb988e36-c702-4b83-8ec1-f4f585f3b411",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "hr"
}
]
},
"renameOutput": true
},
{
"outputKey": "billing",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "06afe4de-1542-46e9-9d57-7775b3b2d185",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "billing"
}
]
},
"renameOutput": true
},
{
"outputKey": "complaint",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "069fdd96-983f-46a7-a709-863cdbc6384d",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "complaint"
}
]
},
"renameOutput": true
},
{
"outputKey": "feedback",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f3e821fa-8b78-427e-abe4-38ae628624e1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "feedback"
}
]
},
"renameOutput": true
},
{
"outputKey": "inquiry",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4a46eaa4-e960-4f3b-b23c-b04d9dbb61e0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "inquiry"
}
]
},
"renameOutput": true
},
{
"outputKey": "sales",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f4a3c28e-ca9f-4c7c-aa04-010832d7dab5",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json[\"subject\"] }}",
"rightValue": "sales"
}
]
},
"renameOutput": true
},
{
"outputKey": "unknown",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "263fd3c7-1e12-4b2e-96b2-0b99e713632d",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{$json[\"category\"]}}",
"rightValue": "unknown"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "054ce674-7ec3-472c-aece-239291db890c",
"name": "代码",
"type": "n8n-nodes-base.code",
"position": [
-1680,
1100
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const subject = $json.subject ? $json.subject.toLowerCase() : \"\";\n\nlet category = \"unknown\";\n\nif (/resume|cv|job/.test(subject)) {\n category = \"hr\";\n} else if (/invoice|bill/.test(subject)) {\n category = \"billing\";\n} else if (/complaint|problem|issue/.test(subject)) {\n category = \"complaint\";\n} else if (/feedback|suggestion/.test(subject)) {\n category = \"feedback\";\n} else if (/inquiry|open|working|tomorrow|holiday/.test(subject)) {\n category = \"inquiry\";\n} else if (/sales|offer|quotation/.test(subject)) {\n category = \"sales\";\n\n}\n\nreturn {\n json: {\n ...$json,\n category\n }\n};\n\n"
},
"typeVersion": 2
},
{
"id": "2d3a2fa0-db9c-44e1-89da-0b7a98626bd8",
"name": "基础LLM链",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-860,
1400
],
"parameters": {
"text": "=##role\nYou are an email classifier. Given an email's subject and body, return one of these exact categories: [\"hr\", \"billing\", \"complaint\", \"feedback\", \"inquiry\", \"sales\", \"client\"].\n\nOnly return one word from this list. If the email is a bill or invoice, return \"billing\". If it's a job application, return \"hr\". If unsure, return \"inquiry\".\n\nSubject: {{ $json[\"subject\"] }}\nBody: {{ $json[\"body\"] }}\n",
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "2b0efec2-3508-4a37-945c-2085439d05fd",
"name": "Groq 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
-760,
1620
],
"parameters": {
"model": "llama-3.3-70b-versatile",
"options": {}
},
"typeVersion": 1
},
{
"id": "700feb4d-f5f7-4a64-80cc-e95db99716fc",
"name": "Groq 聊天模型1",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
-660,
1040
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "ce29423e-ea17-4cdd-81cc-16172776bdb9",
"name": "X",
"type": "n8n-nodes-base.twitter",
"position": [
-140,
760
],
"parameters": {
"text": "=Another happy customer said: \" {{ $json.textPlain }}\"\n",
"additionalFields": {}
},
"typeVersion": 2
},
{
"id": "ff416773-6aa0-468a-895b-5970caaf371c",
"name": "Groq 聊天模型2",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
340,
1280
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "cbe51847-bddb-4169-a9b2-545005416936",
"name": "基础 LLM 链1",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-980,
180
],
"parameters": {
"text": "=You are an HR assistant.\n\nHere is the job description for the role:\n\n[Insert role details here, e.g., \"Looking for a Python Developer with experience in Django, REST APIs, and SQL.\"]\n\nNow, read the following candidate's email/resume and evaluate if they are a good fit for this role.\n\nIf suitable, respond with:\nACCEPT - and a brief explanation why.\n\nIf not suitable, respond with:\nREJECT - and a brief explanation why.\n\nCandidate's email/resume:\n{{ $json[\"emailText\"] }}\n",
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "be7d4f6d-64a0-4be0-b70c-e60abfa610f7",
"name": "Groq 聊天模型3",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
-900,
400
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "d69d1118-5fd7-4e7f-a2c2-8e66d8d40c19",
"name": "代码2",
"type": "n8n-nodes-base.code",
"position": [
-540,
280
],
"parameters": {
"jsCode": "const aiResponse = $json[\"text\"] || \"\"; // Adjust key if different\nconst isAccepted = aiResponse.toLowerCase().startsWith(\"accept\");\n\nreturn [{\n json: {\n decision: isAccepted ? \"accept\" : \"reject\",\n aiResponse: aiResponse,\n candidateEmail: $json[\"candidateEmail\"] || \"\", // get candidate email from previous nodes\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "ecd67230-4807-48bf-acf7-70092f4476fd",
"name": "切换",
"type": "n8n-nodes-base.switch",
"position": [
-320,
280
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "accept",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "366a42b8-a4eb-4488-9872-6f1aa097fc48",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json[decision] }}",
"rightValue": "accept"
}
]
},
"renameOutput": true
},
{
"outputKey": "reject",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6146a9fb-3988-4078-af40-4c87840816a9",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json[decision] }}",
"rightValue": "reject"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "ff741958-dfd7-4c46-945d-10cfe521bd7d",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
460,
1240
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"toolName": "knowlagebase",
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "demokb",
"cachedResultName": "demokb"
},
"toolDescription": "company dock"
},
"typeVersion": 1.1
},
{
"id": "97811059-7058-4b93-b62b-d65ac30da74e",
"name": "Cohere 嵌入",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
600,
1400
],
"parameters": {
"modelName": "embed-english-v3.0"
},
"typeVersion": 1
},
{
"id": "8fd67212-0a9d-4783-acc1-93c7d86c820b",
"name": "当点击“执行工作流”时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1580,
2060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d4b781d1-fe8b-414c-b374-c42d97549763",
"name": "HTTP 请求",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1360,
2060
],
"parameters": {
"url": "https://www.dropbox.com/scl/fo/p05bb9t8o6ech9d1joj7s/AKJmlI3mlt3O8qSjGbroMLc?rlkey=m1h852ks0y2o1gmdmbk3uda1d&st=pk0pq820&dl=1",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "0341b254-3ece-450b-aa3b-de531cbfb1f1",
"name": "从文件提取",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-1140,
2060
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "ffbc75c1-b3ed-4fa6-8cd5-3bbed81c60d1",
"name": "代码3",
"type": "n8n-nodes-base.code",
"position": [
-920,
2060
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "\nconst text = $json.extractedText || $json.text || '';\n\n\nconst cleanedText = text.replace(/\\s+/g, ' ').trim();\n\nreturn {\n json: {\n original: text,\n cleaned: cleanedText\n }\n};\n"
},
"typeVersion": 2
},
{
"id": "1c00d468-87ec-433c-939e-48049c133130",
"name": "Pinecone向量存储1",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-700,
2060
],
"parameters": {
"mode": "insert",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "demokb",
"cachedResultName": "demokb"
}
},
"typeVersion": 1.1
},
{
"id": "404e80ef-fb17-4cbd-9198-23b951b36edf",
"name": "Cohere 嵌入1",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-700,
2280
],
"parameters": {
"modelName": "embed-multilingual-v3.0"
},
"typeVersion": 1
},
{
"id": "761ca395-d8d9-4ad4-a8de-b741dc8ddef0",
"name": "默认数据加载器",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
-580,
2300
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "41b8a97b-7350-4b87-8586-8f558394df54",
"name": "递归字符文本分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
-500,
2480
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "05cfdbad-4dc1-45de-8a25-22762dbf07b7",
"name": "发送邮件给团队",
"type": "n8n-nodes-base.emailSend",
"position": [
80,
860
],
"webhookId": "408004d1-ebdb-4776-a9f8-6a470db658a0",
"parameters": {
"text": "=New feedback received:\n\nSubject: {{$json[\"subject\"]}}\n\nContent: {{$json[\"emailContent\"]}}\n\nSentiment: {{$json[\"sentiment\"]}}\n",
"options": {},
"subject": "negative feedback",
"toEmail": "={{ demo_to_email }}",
"fromEmail": "{{ demo_from_email }",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "42abb326-e9b3-41eb-9840-704b83d3821c",
"name": "发送回复给客户",
"type": "n8n-nodes-base.emailSend",
"position": [
620,
980
],
"webhookId": "bf79c357-f57f-4851-a8bc-c95602e4c069",
"parameters": {
"text": "={{ $json.output }}",
"options": {},
"subject": "inqury reply",
"toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
"fromEmail": "={{ demo_from_email }",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "7cc49a03-c131-4064-a603-1264b9602060",
"name": "发送给支持团队",
"type": "n8n-nodes-base.emailSend",
"position": [
-400,
600
],
"webhookId": "211a9ca3-9768-486e-aad6-fbb52f6d3b2b",
"parameters": {
"text": "=\nA new complaint has been received from {{ $json[\"userName\"] || \"a customer\" }}:\n\n\"{{ $json[\"complaintText\"] }}\"\n\nPlease investigate and resolve this\n",
"options": {},
"subject": "New Customer Complaint Received",
"toEmail": "={{ demo_to_email }}",
"fromEmail": "={{ demo_from_email }}",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "9b4d7b7e-6a0d-4ba3-bd02-fa86422f7a56",
"name": "发送给客户",
"type": "n8n-nodes-base.emailSend",
"position": [
-640,
600
],
"webhookId": "1ef34921-41bc-4a94-ab3e-2553e5c1758c",
"parameters": {
"text": "=We Received Your Complaint\n\nThank you for reaching out to us. We have received your complaint:\n\n\"{{ $json[\"complaintText\"] }}\"\n\nOur team is currently reviewing it and will get back to you as soon as possible.\n\nWe apologize for any inconvenience caused.\n\nFrom , \nCustomer Support Team\n",
"options": {},
"subject": "Complaint Received",
"toEmail": "={{ $json.from }}",
"fromEmail": "={{ demo_from_email }}",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "9a536c97-b395-4466-8181-c1569e340a3c",
"name": "拒绝邮件",
"type": "n8n-nodes-base.emailSend",
"position": [
-100,
380
],
"webhookId": "ea634c6c-305a-499e-8773-d539e8489310",
"parameters": {
"text": "=Dear Candidate,\n\nThank you for applying. After review, we regret to inform you that you do not fit the requirements at this time.\n\nDetails: {{$json[\"aiResponse\"]}}\n\nBest regards,\nHR Team",
"options": {},
"subject": "Job Application Status: Not selected",
"toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
"fromEmail": "={{ demo_from_email }}",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "b782474f-4abe-43e5-8e8b-6f9a4c8bc223",
"name": "发送给人力资源",
"type": "n8n-nodes-base.emailSend",
"position": [
120,
180
],
"webhookId": "1794df4d-7feb-47d6-a8a0-910197e6df62",
"parameters": {
"text": "=Hello HR Team,\n\nCandidate {{$json[\"candidate\"]}} has been accepted with a score of {{$json[\"score\"]}}.\n\nPlease proceed with the next steps.",
"options": {},
"subject": "=New Candidate Accepted:",
"toEmail": "={{ demo_to_email }}",
"fromEmail": "{{ demo_from_email }",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "150f211e-d5f5-4bd3-bc96-fcf662a00f2f",
"name": "发送录用确认给候选人",
"type": "n8n-nodes-base.emailSend",
"position": [
-100,
180
],
"webhookId": "bc4ad05b-966f-4bf2-bb80-23f996862711",
"parameters": {
"text": "=Dear Candidate,\n\nCongratulations! You have been accepted for the role.\n\nDetails: {{$json[\"aiResponse\"]}}\n\nBest regards,\nHR Team\n",
"options": {},
"subject": "Job Application Status: Accepted",
"toEmail": "={{ $('Email Trigger (IMAP)').item.json.from }}",
"fromEmail": "={{ demo_from_email }}",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "fd02b064-4431-486f-bea3-cb0fd161d7d5",
"name": "发送账单给团队",
"type": "n8n-nodes-base.emailSend",
"position": [
-960,
540
],
"webhookId": "91eaac98-671d-4e51-9a36-70a567908385",
"parameters": {
"text": "=\n\nA new billing email has been received.\n\nFrom: {{$json[\"from\"]}}\nSubject: {{$json[\"subject\"]}}\n\nEmail content:\n{{$json[\"body\"]}}\n\n",
"options": {},
"subject": "NEW BILL",
"toEmail": "={{ demo_to_email }}",
"fromEmail": "{{ demo_from_email }",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "88d4ca68-2a8f-4fac-a327-5d34d4cffaf7",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1760,
724
],
"parameters": {
"color": 5,
"width": 480,
"height": 620,
"content": "使用 SWITCH 的邮件分类器"
},
"typeVersion": 1
},
{
"id": "cf112be5-e068-4186-b087-8b8c5f684022",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1020,
1360
],
"parameters": {
"width": 600,
"height": 200,
"content": "当 SWITCH 失败时用于 AI Agent"
},
"typeVersion": 1
},
{
"id": "51599770-8db8-48d9-aea1-a8866118277b",
"name": "发送给销售团队",
"type": "n8n-nodes-base.emailSend",
"position": [
-500,
1140
],
"webhookId": "d0fbd1fe-eafc-4915-a9d0-699a5676f218",
"parameters": {
"text": "= Sales Team\n\nFrom: {{$json[\"from\"]}}\nSubject: {{$json[\"subject\"]}}\n\nEmail content:\n{{$json[\"body\"]}}\n\n",
"options": {},
"subject": "sales",
"toEmail": "={{ demo_to_email }}",
"fromEmail": "={{ demo_from_email }}",
"emailFormat": "text"
},
"typeVersion": 2.1
},
{
"id": "eb7bf4f3-b4c1-4a00-99ce-4da22a607f28",
"name": "清理 AI Agent 输出",
"type": "n8n-nodes-base.code",
"position": [
-420,
1520
],
"parameters": {
"jsCode": "const knownCategories = [\n \"hr\",\n \"billing\",\n \"complaint\",\n \"feedback\",\n \"inquiry\",\n \"sales\",\n \"client\"\n];\n\nconst response = $json[\"category\"] || $json[\"output\"] || $json[\"text\"] || \"\"; // adapt this based on how your LLM responds\n\nconst normalized = response.trim().toLowerCase();\n\nif (knownCategories.includes(normalized)) {\n return [{ json: { category: normalized } }];\n} else {\n return [{ json: { category: \"unknown\" } }];\n}\n\n\n"
},
"typeVersion": 2
},
{
"id": "7686a043-a6a1-4766-b44c-68cd17dd19e4",
"name": "RAG 查询回复",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
300,
980
],
"parameters": {
"text": "=You are a helpful assistant replying to a customer inquiry via email.\n\nUse the following information retrieved from our documents to generate a clear, professional response.\n\nContext:\n{{ $json[\"vectors\"].map(v => v.metadata.text).join(\"\\n\\n\") || \"No context available.\" }}\n\nCustomer's Question:\n{{ $json[\"emailText\"] }}\n\nRespond with a structured and informative email. Summarize any important points about products, services, or team details. Keep the tone polite and helpful.\n\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "52d15753-d3bd-40bf-b003-17d55ddb5769",
"name": "反馈情感分析",
"type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
"position": [
-720,
860
],
"parameters": {
"options": {
"categories": "Positive, Neutral, Negative"
},
"inputText": "=\n {{ $json.textPlain }}"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "a35ed1ad-bbce-4b6d-82e9-a745a54f90e8",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-840,
820
],
"parameters": {
"width": 500,
"height": 200,
"content": "检查反馈是正面还是负面"
},
"typeVersion": 1
},
{
"id": "fada6c17-587e-4b4c-8ff4-6df0e51f747c",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1720,
1960
],
"parameters": {
"width": 1500,
"height": 460,
"content": "将业务详情以 PDF 形式存入向量数据库"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Code": {
"main": [
[
{
"node": "Switch1",
"type": "main",
"index": 0
}
]
]
},
"Code2": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Code3": {
"main": [
[
{
"node": "Pinecone Vector Store1",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "accepted confirm to candidate",
"type": "main",
"index": 0
}
],
[
{
"node": "rejection email",
"type": "main",
"index": 0
}
]
]
},
"Switch1": {
"main": [
[
{
"node": "Basic LLM Chain1",
"type": "main",
"index": 0
}
],
[
{
"node": "bill send to team",
"type": "main",
"index": 0
}
],
[
{
"node": "Send to customer",
"type": "main",
"index": 0
}
],
[
{
"node": "Sentiment Analysis of feedback",
"type": "main",
"index": 0
}
],
[
{
"node": "RAG INQURY REPLY",
"type": "main",
"index": 0
}
],
[
{
"node": "TO SALES TEAM",
"type": "main",
"index": 0
}
],
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "CLEAN AI AGENT OUTPUT",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Basic LLM Chain1": {
"main": [
[
{
"node": "Code2",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model1": {
"ai_languageModel": [
[
{
"node": "Sentiment Analysis of feedback",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Groq Chat Model2": {
"ai_languageModel": [
[
{
"node": "RAG INQURY REPLY",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Groq Chat Model3": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"RAG INQURY REPLY": {
"main": [
[
{
"node": "send reply to customer",
"type": "main",
"index": 0
}
]
]
},
"Send to customer": {
"main": [
[
{
"node": "send to support team",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Cohere": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Code3",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Cohere1": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store1",
"type": "ai_document",
"index": 0
}
]
]
},
"Email Trigger (IMAP)": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"CLEAN AI AGENT OUTPUT": {
"main": [
[
{
"node": "Switch1",
"type": "main",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"ai_tool": [
[
{
"node": "RAG INQURY REPLY",
"type": "ai_tool",
"index": 0
}
]
]
},
"accepted confirm to candidate": {
"main": [
[
{
"node": "to hr",
"type": "main",
"index": 0
}
]
]
},
"Sentiment Analysis of feedback": {
"main": [
[
{
"node": "X",
"type": "main",
"index": 0
}
],
[
{
"node": "send email to team",
"type": "main",
"index": 0
}
],
[
{
"node": "send email to team",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking ‘Execute workflow’": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 工单管理, AI 摘要总结
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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