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Documentation Complète
📋 Automatisation Avancée de Chatbot Bitrix24 avec n8n
💡 Description
Ce workflow n8n offre une intégration fluide avec Bitrix24 pour gérer les interactions de chatbot sur des canaux ouverts. Il utilise des webhooks, la validation de jetons, et une logique conditionnelle pour traiter divers événements tels que les messages entrants et les installations de bots. Grâce à cette automatisation, les entreprises peuvent améliorer leur support client en fournissant des réponses rapides et précises, tout en minimisant l'intervention humaine. La gestion automatisée des documents et l'intégration AI permettent d'optimiser les processus internes.
📈 Impact & ROI: Amélioration notable de la productivité du service client et réduction des coûts opérationnels grâce à l'automatisation.
🚀 Fonctionnalités Clés
- ✅ Gestion efficace des interactions clients via chatbot
- ✅ Intégration transparente avec Bitrix24 pour une meilleure connectivité
- ✅ Automatisation complète du flux de travail pour un gain de temps significatif
- ✅ Utilisation avancée d'intelligence artificielle pour enrichir les réponses
📊 Architecture Technique
34
Nodes
Nodes
29
Connexions
Connexions
3
Services
Services
🔌 Services Intégrés
Bitrix24n8n-nodes-base.webhookn8n-nodes-base.httpRequest
🔧 Composition du Workflow
| Node | Type | Description |
|---|---|---|
| Bitrix24 Handler | webhook | Réception de données via webhook |
| Credentials | set | Traitement des données |
| Validate Token | if | Condition logique pour router le flux |
| Route Event | switch | Traitement des données |
| Process Message | function | Transformation de données avec code personnalisé |
| Process Join | function | Transformation de données avec code personnalisé |
| Process Install | function | Transformation de données avec code personnalisé |
| Register Bot | httpRequest | Requête HTTP vers une API externe |
| Send Message | httpRequest | Requête HTTP vers une API externe |
| Send Join Message | httpRequest | Requête HTTP vers une API externe |
| Process Delete | noOp | Traitement des données |
| Success Response | respondToWebhook | Réception de données via webhook |
| Error Response | respondToWebhook | Réception de données via webhook |
| Merge parameters for Subworkflow | merge | Fusion de plusieurs branches de données |
| Get a list of available storages | httpRequest | Requête HTTP vers une API externe |
| Get a list of List of Files and Folders | httpRequest | Requête HTTP vers une API externe |
| Get a list of Folders files | httpRequest | Requête HTTP vers une API externe |
| Download file | httpRequest | Requête HTTP vers une API externe |
| Default Data Loader | @n8n/n8n-nodes-langchain.documentDefaultDataLoader | Traitement des données |
| Recursive Character Text Splitter | @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter | Division des données en plusieurs branches |
| Split Out folder files and folders | splitOut | Division des données en plusieurs branches |
| Filter for files | filter | Traitement des données |
| Move files to Vector stored folder | httpRequest | Requête HTTP vers une API externe |
| Execute Workflow Trigger | executeWorkflowTrigger | Traitement des données |
| Sticky Note | stickyNote | Traitement des données |
| Qdrant Vector Store | @n8n/n8n-nodes-langchain.vectorStoreQdrant | Traitement des données |
| Embeddings Ollama | @n8n/n8n-nodes-langchain.embeddingsOllama | Traitement des données |
| Vector Store Retriever | @n8n/n8n-nodes-langchain.retrieverVectorStore | Traitement des données |
| Question and Answer Chain | @n8n/n8n-nodes-langchain.chainRetrievalQa | Traitement des données |
| Prepare output parameters | set | Traitement des données |
| Embeddings Ollama1 | @n8n/n8n-nodes-langchain.embeddingsOllama | Traitement des données |
| Google Gemini Chat Model | @n8n/n8n-nodes-langchain.lmChatGoogleGemini | Traitement des données |
| Qdrant Vector Store1 | @n8n/n8n-nodes-langchain.vectorStoreQdrant | Traitement des données |
| Execute subworkflow | executeWorkflow | Traitement des données |
📖 Guide d'Implémentation
- Import du workflow: Téléchargez le fichier JSON et importez-le dans votre instance n8n
- Configuration des credentials: Configurez les accès pour chaque service utilisé
- Personnalisation: Adaptez les paramètres selon vos besoins spécifiques
- Test: Exécutez le workflow en mode test pour vérifier le bon fonctionnement
- Activation: Activez le workflow pour une exécution automatique
🏷️ Tags
Structure JSON
Voir le code JSON complet
{
"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
}
]
]
}
}
}
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