Bitrix24 Open Chanel RAG Chatbot Application Workflow example with Webhook Integration
工作流概述
这是一个包含34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": "TBiW9x7O4ijo4yOX",
"meta": {
"instanceId": "255b605d49a6677a536746e05401de51bb4c62e65036d9acdb9908f6567f0361"
},
"name": "Bitrix24 Open Chanel RAG Chatbot Application Workflow example with Webhook Integration",
"tags": [
{
"id": "2ziILYLz4IbTkFf5",
"name": "Tech demo",
"createdAt": "2025-02-17T08:43:26.445Z",
"updatedAt": "2025-02-17T08:43:26.445Z"
},
{
"id": "BedOB2iRpKR26bcZ",
"name": "Chatbot",
"createdAt": "2025-02-17T08:43:26.436Z",
"updatedAt": "2025-02-17T08:43:26.436Z"
},
{
"id": "DvSHJwHwuObn0cxx",
"name": "Open Channels",
"createdAt": "2025-03-04T07:27:28.499Z",
"updatedAt": "2025-03-04T07:27:28.499Z"
},
{
"id": "YJcjKoBRFN1HXH5e",
"name": "Bitrix24",
"createdAt": "2025-02-17T08:43:26.424Z",
"updatedAt": "2025-02-17T08:43:26.424Z"
}
],
"nodes": [
{
"id": "dbd7b2c0-2b27-4c23-beb7-eec128da0787",
"name": "Bitrix24 Handler",
"type": "n8n-nodes-base.webhook",
"position": [
-1280,
620
],
"webhookId": "bde38660-2604-4e00-afc0-5ebceebb7f0a",
"parameters": {
"path": "bitrix24/openchannel-rag-bothandler.php",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1
},
{
"id": "0ead4d82-4d9b-4392-af4c-2c315068b983",
"name": "Credentials",
"type": "n8n-nodes-base.set",
"position": [
-1040,
620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "030f8f90-2669-4c20-9eab-c572c4b7c70c",
"name": "CLIENT_ID",
"type": "string",
"value": "local.67c8f9e81cb353.30162021"
},
{
"id": "de9bbb7a-b782-4540-b259-527625db8490",
"name": "CLIENT_SECRET",
"type": "string",
"value": "Db5943DCy4JhYq4oU0yNb21Hx8WimQeThczOYk03uJrVroc8R4"
},
{
"id": "86b7aff7-1e25-4b12-a366-23cf34e5a405",
"name": "application_token",
"type": "string",
"value": "={{ $json.body['auth[application_token]'] }}"
},
{
"id": "69bbcb1f-ba6e-42eb-be8a-ee0707ce997d",
"name": "domain",
"type": "string",
"value": "={{ $json.body['auth[domain]'] }}
"
},
{
"id": "dc1b0515-f06a-4731-b0dc-912a8d04e56b",
"name": "access_token",
"type": "string",
"value": "={{ $json.body['auth[access_token]'] }}"
},
{
"id": "94fdeed8-9437-417e-9c2a-fa853620a340",
"name": "storageName",
"type": "string",
"value": "Shared drive"
},
{
"id": "8564e421-dfce-437c-a7c3-ac6a180594b8",
"name": "folderName",
"type": "string",
"value": "Open line chat bot documents"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "67b225b8-c2c2-4570-81cb-4c533ae75465",
"name": "Validate Token",
"type": "n8n-nodes-base.if",
"position": [
-820,
620
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "da73d0ba-6eeb-405e-89fe-9d041fd2e0cd",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.CLIENT_ID }}",
"rightValue": "={{ $json.application_token }}"
},
{
"id": "4ba90f7b-0299-4097-9ae7-6e4dee428a74",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "1",
"rightValue": "1"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "4fee1441-4e30-4070-b596-15e121ca7320",
"name": "Route Event",
"type": "n8n-nodes-base.switch",
"position": [
-620,
520
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "ONIMBOTMESSAGEADD",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "ONIMBOTMESSAGEADD"
}
]
},
"renameOutput": true
},
{
"outputKey": "ONIMBOTJOINCHAT",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "e9125f57-129e-4026-86ff-746d40b92b04",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "ONIMBOTJOINCHAT"
}
]
},
"renameOutput": true
},
{
"outputKey": "ONAPPINSTALL",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2db7bed5-fd88-4900-b8d2-e27b49c2fcca",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "ONAPPINSTALL"
}
]
},
"renameOutput": true
},
{
"outputKey": "ONIMBOTDELETE",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "b708d339-fd46-470d-b0d5-ff2eb405f5ce",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.body.event }}",
"rightValue": "ONIMBOTDELETE"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "c21f6d64-0543-4958-9f64-501dce37893f",
"name": "Process Message",
"type": "n8n-nodes-base.function",
"position": [
-420,
400
],
"parameters": {
"functionCode": "// Process Message Node
const items = $input.all();
const item = items[0];
// Get message data from the correct path
const message = item.json.body['data[PARAMS][MESSAGE]'];
const dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];
const sessionId = item.json.body['data[PARAMS][CHAT_ENTITY_DATA_1]'].split(\"|\")[5];
const botId = Object.keys(item.json.body)
.filter(key => key.startsWith(\"data[BOT]\") && key.endsWith(\"[BOT_ID]\"))
.map(key => $json.body[key])
.shift() || null;
const userId = item.json.body['data[USER][ID]'];
// Get auth data
const auth = {
access_token: item.json.access_token,
domain: item.json.domain
};
if (message.toLowerCase() === \"what's hot\") {
return {
json: {
DIALOG_ID: dialogId,
SESSION_ID: sessionId,
BOT_ID: botId,
USER_ID: userId,
MESSAGE_ORI: message,
MESSAGE: \"Hi! I am an example-bot.\nI repeat what you say\",
AUTH: auth.access_token,
DOMAIN: auth.domain
}
};
} else {
return {
json: {
DIALOG_ID: dialogId,
SESSION_ID: sessionId,
BOT_ID: botId,
USER_ID: userId,
MESSAGE_ORI: message,
MESSAGE: `You said:\n${message}`,
AUTH: auth.access_token,
DOMAIN: auth.domain
}
};
}"
},
"typeVersion": 1
},
{
"id": "06a59835-2999-44b6-81bd-0601e5570113",
"name": "Process Join",
"type": "n8n-nodes-base.function",
"position": [
-420,
780
],
"parameters": {
"functionCode": "// Process Join Node
const items = $input.all();
const item = items[0];
// Get dialog ID from the correct path
const dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];
// Get auth data
const auth = {
access_token: item.json.access_token,
domain: item.json.domain
};
const message =
'ITR Menu:\n' +
'[send=1]1. find out more about me[/send]\n' +
'[send=0]0. wait for operator response[/send]';
return {
json: {
DIALOG_ID: dialogId,
MESSAGE: message,
AUTH: auth.access_token,
DOMAIN: auth.domain
}
};"
},
"typeVersion": 1
},
{
"id": "40accf33-c217-497c-8172-6106eb15800f",
"name": "Process Install",
"type": "n8n-nodes-base.function",
"position": [
-420,
940
],
"parameters": {
"functionCode": "// Process Install Node
const items = $input.all();
const item = items[0];
// Get the webhook URL from input
const handlerBackUrl = item.json.webhookUrl;
// Get auth data directly from item.json
const auth = {
access_token: item.json.access_token,
application_token: item.json.application_token,
domain: item.json.domain
};
return {
json: {
handler_back_url: handlerBackUrl,
CODE: 'OpenChanelExampleBot',
TYPE: 'O',
OPENLINE: 'Y',
EVENT_MESSAGE_ADD: handlerBackUrl,
EVENT_WELCOME_MESSAGE: handlerBackUrl,
EVENT_BOT_DELETE: handlerBackUrl,
PROPERTIES: {
NAME: 'Open chanel Bot',
LAST_NAME: 'Example',
COLOR: 'AQUA',
EMAIL: 'no@example.com',
PERSONAL_BIRTHDAY: '2020-07-18',
WORK_POSITION: 'Report on affairs',
PERSONAL_GENDER: 'M'
},
// Use the auth data from item.json
AUTH: auth.access_token,
CLIENT_ID: auth.application_token,
DOMAIN: auth.domain
}
};"
},
"typeVersion": 1
},
{
"id": "22a7c363-ab5a-4adc-9de4-268f3f3739f3",
"name": "Register Bot",
"type": "n8n-nodes-base.httpRequest",
"position": [
-220,
940
],
"parameters": {
"url": "=https://{{ $json.DOMAIN }}/rest/imbot.register?auth={{$json.AUTH}}",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "CODE",
"value": "OpenChanelExampleBot"
},
{
"name": "TYPE",
"value": "O"
},
{
"name": "EVENT_MESSAGE_ADD",
"value": "={{$json.handler_back_url}}"
},
{
"name": "EVENT_WELCOME_MESSAGE",
"value": "={{$json.handler_back_url}}"
},
{
"name": "EVENT_BOT_DELETE",
"value": "={{$json.handler_back_url}}"
},
{
"name": "PROPERTIES",
"value": "={{ {
NAME: 'Bot',
LAST_NAME: 'Example',
COLOR: 'AQUA',
EMAIL: 'no@example.com',
PERSONAL_BIRTHDAY: '2020-07-18',
WORK_POSITION: 'Report on affairs',
PERSONAL_GENDER: 'M'
} }}"
},
{
"name": "CLIENT_ID",
"value": "={{ $json.CLIENT_ID }}"
},
{
"name": "CLIENT_SECRET",
"value": "={{ $json.AUTH }}"
},
{
"name": "OPENLINE",
"value": "Y"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "e728c7eb-b169-4757-b4f4-b99ec4db0184",
"name": "Send Message",
"type": "n8n-nodes-base.httpRequest",
"position": [
740,
420
],
"parameters": {
"url": "=https://{{ $json.data.DOMAIN }}/rest/imbot.message.add?auth={{ $json.data.AUTH }}",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "DIALOG_ID",
"value": "={{ $json.data.DIALOG_ID }}"
},
{
"name": "MESSAGE",
"value": "={{ $json.data.MESSAGE }}"
},
{
"name": "AUTH",
"value": "={{ $json.data.AUTH }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1a1fae0e-d74f-48b9-8ec8-4e926763de28",
"name": "Send Join Message",
"type": "n8n-nodes-base.httpRequest",
"position": [
-220,
780
],
"parameters": {
"url": "=https://{{$json.DOMAIN}}/rest/imbot.message.add?auth={{$json.AUTH}}",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "DIALOG_ID",
"value": "={{ $json.DIALOG_ID }}"
},
{
"name": "MESSAGE",
"value": "={{ $json.MESSAGE }}"
},
{
"name": "AUTH",
"value": "={{ $json.AUTH }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f377d8eb-2a90-4ca5-8bd8-122c8df2ced3",
"name": "Process Delete",
"type": "n8n-nodes-base.noOp",
"position": [
-420,
1100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "faa4c61e-faf4-4bd7-b096-706d3c5cf366",
"name": "Success Response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1200,
700
],
"parameters": {
"options": {
"responseCode": 200
},
"respondWith": "json",
"responseBody": "={
\"result\": true
}"
},
"typeVersion": 1.1
},
{
"id": "ade154b4-64d9-4ecd-8a83-328002c98569",
"name": "Error Response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
-820,
780
],
"parameters": {
"options": {
"responseCode": 401
},
"respondWith": "json",
"responseBody": "={{
\"result\": false,
\"error\": \"Invalid application token\"
}}"
},
"typeVersion": 1.1
},
{
"id": "a5866396-3a25-4bbf-81b2-56a8d35fc63b",
"name": "Merge parameters for Subworkflow",
"type": "n8n-nodes-base.merge",
"position": [
-180,
1340
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3
},
{
"id": "feb3e1c0-4556-4d77-9e5e-42eb2c10a5f8",
"name": "Get a list of available storages",
"type": "n8n-nodes-base.httpRequest",
"position": [
-860,
2080
],
"parameters": {
"url": "=https://{{ $json.domain }}/rest/disk.storage.getlist.json?auth={{ $json.access_token }}",
"method": "POST",
"options": {},
"jsonBody": "={
\"filter\": {
\"ENTITY_TYPE\": \"common\",
\"%NAME\": \"{{ $json.storageName }}\"
}
}
",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "7bb0412e-57ab-4a63-aec2-5db64b83ef7e",
"name": "Get a list of List of Files and Folders",
"type": "n8n-nodes-base.httpRequest",
"position": [
-640,
2080
],
"parameters": {
"url": "=https://{{ $('Execute Workflow Trigger').item.json.domain }}/rest/disk.storage.getchildren.json?auth={{ $('Execute Workflow Trigger').item.json.access_token }}",
"method": "POST",
"options": {},
"jsonBody": "={
\"id\": {{ $json.result[0].ID }},
\"filter\": {
\"TYPE\": \"folder\",
\"%NAME\": \"{{ $('Execute Workflow Trigger').item.json.folderName }}\"
}
}
",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "5528a3be-375a-4077-a346-2eb77cf9160f",
"name": "Get a list of Folders files",
"type": "n8n-nodes-base.httpRequest",
"position": [
-420,
2080
],
"parameters": {
"url": "=https://{{ $('Execute Workflow Trigger').item.json.domain }}/rest/disk.folder.getchildren.json?auth={{ $('Execute Workflow Trigger').item.json.access_token }}",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.result[0].ID }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f713eda1-f51e-484d-a98a-f359bc7ce654",
"name": "Download file",
"type": "n8n-nodes-base.httpRequest",
"position": [
280,
2080
],
"parameters": {
"url": "={{ $json.DOWNLOAD_URL }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "3b2c67ea-bb6c-49c8-b55f-ffde7d1d8e83",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
700,
2280
],
"parameters": {
"loader": "pdfLoader",
"options": {
"splitPages": true
},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "0b5c2963-3692-469d-a1ce-66fe598dc25f",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
840,
2460
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "52bfdf6b-0fb1-4e85-b31d-ec6c9ef912d8",
"name": "Split Out folder files and folders",
"type": "n8n-nodes-base.splitOut",
"position": [
-180,
2080
],
"parameters": {
"options": {},
"fieldToSplitOut": "result"
},
"typeVersion": 1
},
{
"id": "fd53fca7-d11d-4254-be56-9a62b6f0fadf",
"name": "Filter for files",
"type": "n8n-nodes-base.filter",
"position": [
40,
2080
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6e68a8be-c155-41c7-ace4-bf76bfd362fc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.TYPE }}",
"rightValue": "file"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "748a65d3-dceb-4787-a068-b364371b392b",
"name": "Move files to Vector stored folder",
"type": "n8n-nodes-base.httpRequest",
"position": [
520,
1860
],
"parameters": {
"url": "=https://{{ $('Execute Workflow Trigger').item.json.domain }}/rest/disk.file.moveto.json?auth={{ $('Execute Workflow Trigger').item.json.access_token }}",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "id",
"value": "={{ $json.ID }}"
},
{
"name": "targetFolderId",
"value": "={{ $('Get a list of Folders files').item.json.result[0].ID }}"
}
]
}
},
"executeOnce": false,
"typeVersion": 4.2
},
{
"id": "47f3aec5-c3cb-4d3e-97bc-8b708ccc0db5",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-1080,
2080
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9d3eb788-96cf-4c01-af5f-2beb1f6fa7b8",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1160,
1780
],
"parameters": {
"width": 2168.7691983135305,
"height": 818.1434255918864,
"content": "Subworkflow for Register Bot
Here are files vector stored for Open line chanel bot
After files are stored they are moved to subfolder"
},
"typeVersion": 1
},
{
"id": "91c26264-a61d-426c-a044-e2b287e54de0",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
580,
2080
],
"parameters": {
"mode": "insert",
"options": {
"collectionConfig": ""
},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "bitrix-docs",
"cachedResultName": "bitrix-docs"
}
},
"typeVersion": 1
},
{
"id": "0dd69952-402e-4d9e-a44f-7cf96ab4055e",
"name": "Embeddings Ollama",
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"position": [
500,
2280
],
"parameters": {
"model": "nomic-embed-text:latest"
},
"typeVersion": 1
},
{
"id": "fcfbfe53-da04-48f2-9a62-204a8f1f06a8",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
140,
240
],
"parameters": {
"topK": 10
},
"typeVersion": 1
},
{
"id": "22d3be40-b74a-453f-8f52-8974b1527d49",
"name": "Question and Answer Chain",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
0,
0
],
"parameters": {
"text": "={{ $json.MESSAGE_ORI }}",
"options": {
"systemPromptTemplate": "=Use the following pieces of context to answer the user's question.
If you don't know the answer, just say that you don't know, don't try to make up an answer.
----------------
{context}
Your response must contain **only** the following key-value pairs:
- `\"DIALOG_ID\"`: **Use exactly** this value from the input: `{{ $json.DIALOG_ID }}`
- `\"AUTH\"`: **Use exactly** this value from the input: `{{ $json.AUTH }}`
- `\"DOMAIN\"`: **Use exactly** this value from the input: `{{ $json.DOMAIN }}`
- `\"MESSAGE\"`: **Your AI-generated response**, based on the conversation history and the user's input.
**Do not modify** the values of `\"DIALOG_ID\"`, `\"AUTH\"`, or `\"DOMAIN\"`. They must remain exactly as received from the input.
The `\"MESSAGE\"` field must contain a relevant and clear response.
If the user asks **\"find out more about me\"**, respond with:
*\"I am a Retrieval-Augmented Generation (RAG) system that answers questions based on uploaded documents and provided context.\"*"
},
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "fb19f0b5-72cb-4ccd-ac0e-75ea3a32c9cc",
"name": "Prepare output parameters",
"type": "n8n-nodes-base.set",
"position": [
440,
60
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ef09b5f8-2111-4731-8317-e338885a10c3",
"name": "data",
"type": "object",
"value": "={{ $json.response.text.removeMarkdown().replace(/`+$/, '')}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "52429ac1-d738-49d7-81a8-725df6587312",
"name": "Embeddings Ollama1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"position": [
360,
600
],
"parameters": {
"model": "nomic-embed-text:latest"
},
"typeVersion": 1
},
{
"id": "bade110b-d252-4633-9ecf-44a42772b8d5",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-60,
300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"typeVersion": 1
},
{
"id": "41eb5179-6195-485b-848b-46bb997de38e",
"name": "Qdrant Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
160,
420
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "bitrix-docs",
"cachedResultName": "bitrix-docs"
}
},
"typeVersion": 1
},
{
"id": "484cbc38-4c6f-4d3d-9409-b04df2c7e102",
"name": "Execute subworkflow",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
200,
1340
],
"parameters": {
"options": {},
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
}
},
"typeVersion": 1.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "e3e24337-997c-4ce2-b8c1-3e6f8b9eb85c",
"connections": {
"Credentials": {
"main": [
[
{
"node": "Validate Token",
"type": "main",
"index": 0
},
{
"node": "Merge parameters for Subworkflow",
"type": "main",
"index": 1
}
]
]
},
"Route Event": {
"main": [
[
{
"node": "Process Message",
"type": "main",
"index": 0
}
],
[
{
"node": "Process Join",
"type": "main",
"index": 0
}
],
[
{
"node": "Process Install",
"type": "main",
"index": 0
}
],
[
{
"node": "Process Delete",
"type": "main",
"index": 0
}
]
]
},
"Process Join": {
"main": [
[
{
"node": "Send Join Message",
"type": "main",
"index": 0
}
]
]
},
"Register Bot": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
},
{
"node": "Merge parameters for Subworkflow",
"type": "main",
"index": 0
}
]
]
},
"Send Message": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
}
]
]
},
"Download file": {
"main": [
[
{
"node": "Move files to Vector stored folder",
"type": "main",
"index": 0
},
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Process Delete": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
}
]
]
},
"Validate Token": {
"main": [
[
{
"node": "Route Event",
"type": "main",
"index": 0
}
],
[
{
"node": "Error Response",
"type": "main",
"index": 0
}
]
]
},
"Process Install": {
"main": [
[
{
"node": "Register Bot",
"type": "main",
"index": 0
}
]
]
},
"Process Message": {
"main": [
[
{
"node": "Question and Answer Chain",
"type": "main",
"index": 0
}
]
]
},
"Bitrix24 Handler": {
"main": [
[
{
"node": "Credentials",
"type": "main",
"index": 0
}
]
]
},
"Filter for files": {
"main": [
[
{
"node": "Download file",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Ollama": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Send Join Message": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Ollama1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Execute subworkflow": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Get a list of available storages",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Prepare output parameters": {
"main": [
[
{
"node": "Send Message",
"type": "main",
"index": 0
}
]
]
},
"Question and Answer Chain": {
"main": [
[
{
"node": "Prepare output parameters",
"type": "main",
"index": 0
}
]
]
},
"Get a list of Folders files": {
"main": [
[
{
"node": "Split Out folder files and folders",
"type": "main",
"index": 0
}
]
]
},
"Get a list of available storages": {
"main": [
[
{
"node": "Get a list of List of Files and Folders",
"type": "main",
"index": 0
}
]
]
},
"Merge parameters for Subworkflow": {
"main": [
[
{
"node": "Execute subworkflow",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Split Out folder files and folders": {
"main": [
[
{
"node": "Filter for files",
"type": "main",
"index": 0
}
]
]
},
"Get a list of List of Files and Folders": {
"main": [
[
{
"node": "Get a list of Folders files",
"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
- Webhook
- Set
- If
- Switch
- Function
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