Workflow n8n
Automatisation Bitrix24 avec n8n : gestion de chatbot efficace
- Ce workflow n8n est conçu pour automatiser la gestion d'un chatbot sur Bitrix24, facilitant ainsi les interactions avec les utilisateurs. Dans un contexte où les entreprises cherchent à améliorer leur service client, ce workflow permet de traiter les messages entrants, d'enregistrer des bots et de gérer les événements de manière fluide. Grâce à l'automatisation n8n, les équipes peuvent se concentrer sur des tâches à plus forte valeur ajoutée tout en assurant une réponse rapide aux demandes des clients.
- Le processus débute par un déclencheur Webhook via le nœud 'Bitrix24 Handler', qui capte les messages entrants. Ensuite, le workflow valide le token d'authentification avec le nœud 'Validate Token' avant de router l'événement avec le nœud 'Route Event'. Selon le type de message, différentes actions sont exécutées, comme l'envoi de messages ou le traitement des installations et des jointures via des nœuds de fonction. Les nœuds HTTP Request sont utilisés pour interagir avec l'API de Bitrix24, permettant d'enregistrer le bot et d'envoyer des messages personnalisés.
- En intégrant ce workflow, les entreprises peuvent réduire les délais de réponse, améliorer la satisfaction client et optimiser la gestion des ressources. L'automatisation n8n offre une solution robuste pour gérer efficacement les interactions sur Bitrix24, permettant ainsi aux équipes de se concentrer sur des initiatives stratégiques.
Tags clés :automatisationBitrix24chatbotn8nservice client
Catégorie: Webhook · Tags: automatisation, Bitrix24, chatbot, n8n, service client❤ 0
Workflow n8n Bitrix24, chatbot, service client : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Bitrix24, chatbot, service client : détail des nœuds
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"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]'] }}\n"
},
{
"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\nconst items = $input.all();\nconst item = items[0];\n\n// Get message data from the correct path\nconst message = item.json.body['data[PARAMS][MESSAGE]'];\nconst dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];\n\nconst sessionId = item.json.body['data[PARAMS][CHAT_ENTITY_DATA_1]'].split(\"|\")[5];\n\nconst botId = Object.keys(item.json.body)\n .filter(key => key.startsWith(\"data[BOT]\") && key.endsWith(\"[BOT_ID]\"))\n .map(key => $json.body[key])\n .shift() || null;\nconst userId = item.json.body['data[USER][ID]'];\n\n// Get auth data\nconst auth = {\n access_token: item.json.access_token,\n domain: item.json.domain\n};\n\nif (message.toLowerCase() === \"what's hot\") {\n return {\n json: {\n DIALOG_ID: dialogId,\n SESSION_ID: sessionId,\n BOT_ID: botId,\n USER_ID: userId,\n MESSAGE_ORI: message,\n MESSAGE: \"Hi! I am an example-bot.\\nI repeat what you say\",\n AUTH: auth.access_token,\n DOMAIN: auth.domain\n }\n };\n} else {\n return {\n json: {\n DIALOG_ID: dialogId,\n SESSION_ID: sessionId,\n BOT_ID: botId,\n USER_ID: userId,\n MESSAGE_ORI: message,\n MESSAGE: `You said:\\n${message}`,\n AUTH: auth.access_token,\n DOMAIN: auth.domain\n }\n };\n}"
},
"typeVersion": 1
},
{
"id": "06a59835-2999-44b6-81bd-0601e5570113",
"name": "Process Join",
"type": "n8n-nodes-base.function",
"position": [
-420,
780
],
"parameters": {
"functionCode": "// Process Join Node\nconst items = $input.all();\nconst item = items[0];\n\n// Get dialog ID from the correct path\nconst dialogId = item.json.body['data[PARAMS][DIALOG_ID]'];\n\n// Get auth data\nconst auth = {\n access_token: item.json.access_token,\n domain: item.json.domain\n};\n\nconst message = \n 'ITR Menu:\\n' +\n '[send=1]1. find out more about me[/send]\\n' +\n '[send=0]0. wait for operator response[/send]';\n\nreturn {\n json: {\n DIALOG_ID: dialogId,\n MESSAGE: message,\n AUTH: auth.access_token,\n DOMAIN: auth.domain\n }\n};"
},
"typeVersion": 1
},
{
"id": "40accf33-c217-497c-8172-6106eb15800f",
"name": "Process Install",
"type": "n8n-nodes-base.function",
"position": [
-420,
940
],
"parameters": {
"functionCode": "// Process Install Node\nconst items = $input.all();\nconst item = items[0];\n\n// Get the webhook URL from input\nconst handlerBackUrl = item.json.webhookUrl;\n\n// Get auth data directly from item.json\nconst auth = {\n access_token: item.json.access_token,\n application_token: item.json.application_token,\n domain: item.json.domain\n};\n\nreturn {\n json: {\n handler_back_url: handlerBackUrl,\n CODE: 'OpenChanelExampleBot',\n TYPE: 'O',\n OPENLINE: 'Y',\n EVENT_MESSAGE_ADD: handlerBackUrl,\n EVENT_WELCOME_MESSAGE: handlerBackUrl,\n EVENT_BOT_DELETE: handlerBackUrl,\n PROPERTIES: {\n NAME: 'Open chanel Bot',\n LAST_NAME: 'Example',\n COLOR: 'AQUA',\n EMAIL: 'no@example.com',\n PERSONAL_BIRTHDAY: '2020-07-18',\n WORK_POSITION: 'Report on affairs',\n PERSONAL_GENDER: 'M'\n },\n // Use the auth data from item.json\n AUTH: auth.access_token,\n CLIENT_ID: auth.application_token,\n DOMAIN: auth.domain\n }\n};"
},
"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": "={{ {\n NAME: 'Bot',\n LAST_NAME: 'Example',\n COLOR: 'AQUA',\n EMAIL: 'no@example.com',\n PERSONAL_BIRTHDAY: '2020-07-18',\n WORK_POSITION: 'Report on affairs',\n PERSONAL_GENDER: 'M'\n} }}"
},
{
"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": "={\n \"result\": true\n}"
},
"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": "={{\n \"result\": false,\n \"error\": \"Invalid application token\"\n}}"
},
"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": "={\n\"filter\": {\n\t\t\t\t\"ENTITY_TYPE\": \"common\",\n\t\t\t\t\"%NAME\": \"{{ $json.storageName }}\"\n }\n}\n",
"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": "={\n\"id\": {{ $json.result[0].ID }},\n\"filter\": {\n\t\t\t\t\"TYPE\": \"folder\",\n\t\t\t\t\"%NAME\": \"{{ $('Execute Workflow Trigger').item.json.folderName }}\"\n }\n}\n",
"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\nHere are files vector stored for Open line chanel bot\nAfter 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.\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n\n----------------\n{context}\n\nYour response must contain **only** the following key-value pairs:\n- `\"DIALOG_ID\"`: **Use exactly** this value from the input: `{{ $json.DIALOG_ID }}`\n- `\"AUTH\"`: **Use exactly** this value from the input: `{{ $json.AUTH }}`\n- `\"DOMAIN\"`: **Use exactly** this value from the input: `{{ $json.DOMAIN }}`\n- `\"MESSAGE\"`: **Your AI-generated response**, based on the conversation history and the user's input.\n\n**Do not modify** the values of `\"DIALOG_ID\"`, `\"AUTH\"`, or `\"DOMAIN\"`. They must remain exactly as received from the input. \nThe `\"MESSAGE\"` field must contain a relevant and clear response.\n\nIf the user asks **\"find out more about me\"**, respond with: \n*\"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
}
]
]
}
}
}Workflow n8n Bitrix24, chatbot, service client : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises utilisant Bitrix24 souhaitant automatiser la gestion de leur service client via un chatbot. Il est idéal pour les équipes techniques et marketing cherchant à améliorer leur efficacité opérationnelle, quel que soit leur niveau d'expertise en automatisation.
Workflow n8n Bitrix24, chatbot, service client : problème résolu
Ce workflow résout le problème de la lenteur et de l'inefficacité dans la gestion des requêtes clients sur Bitrix24. En automatisant le traitement des messages et en intégrant un chatbot, il élimine les frustrations liées aux délais de réponse et réduit le risque d'erreurs humaines. Les utilisateurs bénéficient d'une interaction plus fluide et rapide, ce qui améliore l'expérience client globale.
Workflow n8n Bitrix24, chatbot, service client : étapes du workflow
Étape 1 : Le workflow est déclenché par un Webhook via le nœud 'Bitrix24 Handler'.
- Étape 1 : Le token d'authentification est validé avec le nœud 'Validate Token'.
- Étape 2 : L'événement est routé grâce au nœud 'Route Event', qui détermine le type de message reçu.
- Étape 3 : Selon le type de message, des actions spécifiques sont exécutées, comme l'envoi de messages ou le traitement des installations via des nœuds de fonction.
- Étape 4 : Les nœuds HTTP Request permettent d'interagir avec l'API de Bitrix24 pour enregistrer le bot et envoyer des réponses personnalisées.
- Étape 5 : Enfin, le workflow répond au Webhook avec les résultats appropriés.
Workflow n8n Bitrix24, chatbot, service client : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster le nœud 'Bitrix24 Handler' en modifiant le chemin du Webhook selon vos besoins. Vous pouvez également personnaliser les messages envoyés par le chatbot dans les nœuds 'Send Message' et 'Send Join Message'. Si vous souhaitez intégrer d'autres outils, explorez les nœuds HTTP Request pour ajouter des appels API supplémentaires. Assurez-vous de sécuriser votre flux en vérifiant les tokens d'authentification et en surveillant les réponses du Webhook pour garantir un fonctionnement optimal.