Ferenc Erb This workflow corresponds to n8n.io template #3094 — we link there as the canonical source.
This workflow follows the Chainretrievalqa → Retrievervectorstore recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "TBiW9x7O4ijo4yOX",
"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
],
"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: 'user@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,
"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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About this workflow
Transform your Bitrix24 Open Line channels with an intelligent chatbot that leverages Retrieval-Augmented Generation (RAG) technology to provide accurate, document-based responses to customer inquiries in real-time.
Source: https://n8n.io/workflows/3094/ — original creator credit. Request a take-down →
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