Max Tkacz This workflow corresponds to n8n.io template #13353 — we link there as the canonical source.
This workflow follows the Chainllm → Form Trigger 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": "U0SJOgXrL6E04BlM",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "QA Ingest [quickstart 2026]",
"tags": [],
"nodes": [
{
"id": "c4fba515-9db2-495c-838e-25eb58413e94",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
0,
0
],
"parameters": {
"options": {},
"formTitle": "QA Submission",
"formFields": {
"values": [
{
"fieldLabel": "Name"
},
{
"fieldLabel": "Email"
},
{
"fieldLabel": "Question"
},
{
"fieldType": "textarea",
"fieldLabel": "Answer"
}
]
}
},
"typeVersion": 2.5
},
{
"id": "24d9713e-12f0-4870-b150-b5d595efbd17",
"name": "is n8n.io email?",
"type": "n8n-nodes-base.if",
"position": [
224,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2c77555f-438e-4756-8c5a-51b4cec4bd80",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.Email }}",
"rightValue": "n8n.io"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "7653d339-0a23-47b4-8bcb-03cf209b8cb9",
"name": "isTrusted:true",
"type": "n8n-nodes-base.set",
"position": [
480,
-112
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "38f6f1bc-e298-484c-b763-fd43b670b293",
"name": "isTrusted",
"type": "boolean",
"value": true
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "7f97f6eb-4928-4b4b-a27e-e3da7ba9f856",
"name": "isTrusted:false",
"type": "n8n-nodes-base.set",
"position": [
480,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "38f6f1bc-e298-484c-b763-fd43b670b293",
"name": "isTrusted",
"type": "boolean",
"value": false
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "d451864a-2ef6-48cd-b479-414963e5ee3f",
"name": "ref",
"type": "n8n-nodes-base.noOp",
"position": [
720,
-16
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1f90264e-a8eb-449c-8b10-40d175d01d73",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
896,
160
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5-mini"
},
"options": {},
"builtInTools": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "5d4d0bac-9515-494a-88fa-621225113798",
"name": "Add tags",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
912,
-16
],
"parameters": {
"text": "=Analyze the following question and answer and output relevant tags\n\nQuestion: {{ $json.Question }}\nAnswer: {{ $json.Answer }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "You are a content tagging expert. Your task is to analyze Question and Answer submissions and generate relevant, descriptive tags that categorize the content based on topic, key concepts, and technical terms. Always provide 4-8 tags as a comma separated list. Keep tags short and focused in individual length.\n\nExample Output:\npartner, partnerships, agency, external contractors, lead referral "
}
]
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "aa14ad57-c47c-4901-9e1b-33fc1422a110",
"name": "Insert row",
"type": "n8n-nodes-base.dataTable",
"position": [
1232,
-16
],
"parameters": {
"columns": {
"value": {
"Name": "={{ $('ref').item.json.Name }}",
"Tags": "={{ $json.text }}",
"Email": "={{ $('ref').item.json.Email }}",
"Answer": "={{ $('ref').item.json.Answer }}",
"Question": "={{ $('ref').item.json.Question }}",
"isTrusted": "={{ $('ref').item.json.isTrusted }}"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false
},
{
"id": "Email",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Email",
"defaultMatch": false
},
{
"id": "Question",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Question",
"defaultMatch": false
},
{
"id": "Answer",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Answer",
"defaultMatch": false
},
{
"id": "Tags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Tags",
"defaultMatch": false
},
{
"id": "isTrusted",
"type": "boolean",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "isTrusted",
"defaultMatch": false
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"dataTableId": {
"__rl": true,
"mode": "list",
"value": "PM3CHtETy7TT6wnb",
"cachedResultUrl": "/projects/Z00J79cBs01Yrr1J/datatables/PM3CHtETy7TT6wnb",
"cachedResultName": "q&a"
}
},
"typeVersion": 1.1
},
{
"id": "43f1e1bc-723a-4ebf-ac2a-bea8d004ab87",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-480
],
"parameters": {
"color": 7,
"width": 400,
"height": 256,
"content": "## QA Ingest Template\n### Flow 1/2\nThis workflow lets users submit Question and Answer pairs, automatically enriches them by flagging trusted submissions based on email validation and using an LLM to generate relevant tags, then stores everything in an n8n Data Table.\n\nBy [Max Tkacz | The Original Flowgrammer](https://www.linkedin.com/in/maxtkacz/)\n"
},
"typeVersion": 1
}
],
"active": true,
"settings": {
"binaryMode": "separate",
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "0dc57da8-493e-40d1-82f2-f5b80255c5ff",
"connections": {
"ref": {
"main": [
[
{
"node": "Add tags",
"type": "main",
"index": 0
}
]
]
},
"Add tags": {
"main": [
[
{
"node": "Insert row",
"type": "main",
"index": 0
}
]
]
},
"Insert row": {
"main": [
[]
]
},
"isTrusted:true": {
"main": [
[
{
"node": "ref",
"type": "main",
"index": 0
}
]
]
},
"isTrusted:false": {
"main": [
[
{
"node": "ref",
"type": "main",
"index": 0
}
]
]
},
"is n8n.io email?": {
"main": [
[
{
"node": "isTrusted:true",
"type": "main",
"index": 0
}
],
[
{
"node": "isTrusted:false",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Add tags",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "is n8n.io email?",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApi
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About this workflow
This workflow serves an n8n Form to end user to capture a Question and Answer pair (to be used by an Q&A AI Agent in a separate workflow).
Source: https://n8n.io/workflows/13353/ — original creator credit. Request a take-down →
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