This workflow follows the Chat → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "n8n-RAG",
"nodes": [
{
"parameters": {
"mode": "combine",
"combineBy": "combineByPosition",
"options": {}
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
896,
192
],
"id": "0be1ac6c-3602-4c5f-8d96-41ab9fb76c5c",
"name": "Merge"
},
{
"parameters": {
"options": {
"responseMode": "responseNodes"
}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
-48,
512
],
"id": "35d33fad-7bdc-465d-98e1-a66e80d986ad",
"name": "When chat message received"
},
{
"parameters": {
"message": "={{ $json.response }}",
"waitUserReply": false,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chat",
"typeVersion": 1,
"position": [
1120,
512
],
"id": "7e13b3aa-b534-4bb1-b357-c5d2f3b09991",
"name": "Respond to Chat"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-32,
0
],
"id": "ac399884-230b-4e6e-a751-7e90a6f9f122",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"url": "https://pytorch.org/sitemap.xml",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
-48,
336
],
"id": "7167818a-f651-4688-8713-5d06b8011134",
"name": "HTTP Request1"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "url",
"cssSelector": "loc",
"returnArray": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
160,
336
],
"id": "c7997dfb-0444-4797-8ee5-b3e3bd9541e8",
"name": "HTML1"
},
{
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
464,
336
],
"id": "349cae71-bf94-46e4-83a9-a87f2c8d9e7f",
"name": "HTTP Request4"
},
{
"parameters": {
"fieldToSplitOut": "url",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
288,
336
],
"id": "62ee6023-7cec-4d4c-85b2-7ae743ced5c6",
"name": "Split Out"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "page_url",
"cssSelector": "loc",
"returnArray": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
672,
336
],
"id": "fb9bfe46-d02f-4dd4-801d-0b46887f9862",
"name": "HTML2"
},
{
"parameters": {
"method": "POST",
"url": "http://192.168.0.6:11434/api/embeddings",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\"model\": \"nomic-embed-text\", \"prompt\": \"{{ $json.chatInput }}\"}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
240,
512
],
"id": "e45c6001-e9a2-4acc-a845-98f0d55b622d",
"name": "embed query"
},
{
"parameters": {
"method": "POST",
"url": "https://tvvkoehdskjwjkgsfeqc.supabase.co/rest/v1/rpc/match_documents",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "apikey",
"value": "sb_publishable_DNNFJLVrlVJd-jxY-qoCRg_TBAGC-iG"
},
{
"name": "authorization",
"value": "<redacted-credential>"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "query_embedding",
"value": "={{ $json.embedding }}"
},
{
"name": "match_count",
"value": "5"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
464,
512
],
"id": "b7b1c3e9-6f66-4620-85c9-7b817530b8dc",
"name": "retrieval"
},
{
"parameters": {
"jsCode": "// Collect retrieved docs\nconst docs = items.map(item => item.json.content);\n\n// Build context\nconst context = docs.join(\"\\n\\n---\\n\\n\");\n\n// Get question from chat trigger\nconst question = $items(\"When chat message received\")[0].json.chatInput;\n\nreturn [\n {\n json: {\n context,\n question\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
672,
512
],
"id": "c8cb1f7f-f7ac-4f5c-b670-bfad22365b97",
"name": "top k"
},
{
"parameters": {
"method": "POST",
"url": "http://192.168.0.6:11434/api/generate",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "llama3"
},
{
"name": "prompt",
"value": "=You are a helpful AI assistant.\\n\\nContext:\\n\" +{{ $json.context }} + \"\\n\\nQuestion:\\n\" + {{ $json.question }} + \"\\n\\nAnswer clearly:\n"
},
{
"name": "stream",
"value": "={{ false }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
912,
512
],
"id": "14c2d653-3619-4082-9202-2f9529987b84",
"name": "generation"
},
{
"parameters": {
"url": "https://pytorch.org/tutorials/beginner/basics/intro.html",
"options": {
"response": {
"response": {
"responseFormat": "text"
}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
208,
0
],
"id": "8b23d2fe-f266-40b6-b3e8-f51c09d96826",
"name": "link"
},
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "content",
"cssSelector": "article.bd-article"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
432,
0
],
"id": "b5ab5613-95b0-413d-aeae-c374cf37067f",
"name": "extract"
},
{
"parameters": {
"jsCode": "const text = $json.content;\n\n// Clean extra spaces\nconst cleanText = text.replace(/\\s+/g, ' ').trim();\n\nconst chunkSize = 1000; // characters\nconst overlap = 200;\n\nlet chunks = [];\nlet start = 0;\n\nwhile (start < cleanText.length) {\n let end = start + chunkSize;\n\n chunks.push({\n content: cleanText.slice(start, end)\n });\n\n start = end - overlap;\n}\n\nreturn chunks.map(chunk => ({ json: chunk }));\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
640,
0
],
"id": "70dcf5f8-2bd9-4545-a0f7-fcdc8848eb23",
"name": "chunk"
},
{
"parameters": {
"method": "POST",
"url": "http://192.168.0.6:11434/api/embeddings",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\"model\": \"nomic-embed-text\", \"prompt\": \"{{$json.content}}\"}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
896,
0
],
"id": "46c9c705-3b16-4b76-815f-12d10327ed55",
"name": "embed"
},
{
"parameters": {
"method": "POST",
"url": "https://tvvkoehdskjwjkgsfeqc.supabase.co/rest/v1/documents",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "apikey",
"value": "sb_publishable_DNNFJLVrlVJd-jxY-qoCRg_TBAGC-iG"
},
{
"name": "authorization",
"value": "<redacted-credential>"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.content }}"
},
{
"name": "embedding",
"value": "={{ $json.embedding }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
1104,
0
],
"id": "71c4ca4b-f0c0-4942-b3e4-d92f128aeeb3",
"name": "send to db"
}
],
"connections": {
"Merge": {
"main": [
[
{
"node": "send to db",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "embed query",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "link",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request1": {
"main": [
[
{
"node": "HTML1",
"type": "main",
"index": 0
}
]
]
},
"HTML1": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "HTTP Request4",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request4": {
"main": [
[
{
"node": "HTML2",
"type": "main",
"index": 0
}
]
]
},
"embed query": {
"main": [
[
{
"node": "retrieval",
"type": "main",
"index": 0
}
]
]
},
"retrieval": {
"main": [
[
{
"node": "top k",
"type": "main",
"index": 0
}
]
]
},
"top k": {
"main": [
[
{
"node": "generation",
"type": "main",
"index": 0
}
]
]
},
"generation": {
"main": [
[
{
"node": "Respond to Chat",
"type": "main",
"index": 0
}
]
]
},
"link": {
"main": [
[
{
"node": "extract",
"type": "main",
"index": 0
}
]
]
},
"extract": {
"main": [
[
{
"node": "chunk",
"type": "main",
"index": 0
}
]
]
},
"chunk": {
"main": [
[
{
"node": "embed",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"embed": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"availableInMCP": false
},
"versionId": "e838fe10-c884-4cbb-9baf-570547b3d061",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "9V6fdX2OvZZQIcHQ0SHB1",
"tags": []
}
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About this workflow
n8n-RAG. Uses chatTrigger, chat, httpRequest. Chat trigger; 18 nodes.
Source: https://github.com/Adrian-patrick/rag-n8n-vs-langchain/blob/d7bdf34cce99110d66b7957d479ec2474551a126/n8n/n8n-RAG.json — original creator credit. Request a take-down →
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