This workflow follows the Datatable → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "concept-comparison",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
0,
0
],
"id": "dd28341c-cb87-49a5-8562-4a809bc0915c",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"jsCode": "// utils\n\nfunction indexBy(f, objs) {\n return objs.reduce((acc, c) => {\n acc[f(c)] = c;\n return acc;\n },\n {});\n}\n\nreturn [{\n json: {\n properties: $('Set properties').first().json,\n parameters: indexBy((c) => c.parameter, items.map(item => item.json))\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
560,
0
],
"id": "5e60a30a-9e0c-4207-bb56-4a1a14f53389",
"name": "Merge items"
},
{
"parameters": {
"jsCode": "// utils\nfunction toPerc(x) {\n return Math.round(x * 100) + '%'\n}\n// core\nconst perspective_aspects = \n $('AI-function: compare concepts').first().json.result.perspective_aspects;\n//console.log(perspective_aspects);\nlet features = perspective_aspects.reduce((acc, aspect) => \n [...acc, ...aspect.aspect_features.map(feature => \n ({\n LLM_model: $('Merge items').first().json.parameters.LLM_model.value,\n type: 'feature_score',\n ...feature,\n aspect_name: aspect.aspect_name,\n a_winner: feature.normalized_comparison > 0,\n a_score: feature.normalized_comparison >= 0 ? toPerc(feature.normalized_comparison) : 0,\n b_winner: feature.normalized_comparison < 0,\n b_score: feature.normalized_comparison <= 0 ? toPerc(-feature.normalized_comparison) : 0,\n message: `a_concept: ${$('Merge items').first().json.parameters.a_concept.value}, b_concept: ${$('Merge items').first().json.parameters.b_concept.value}`})\n )]\n , []);\nconst comparison_total = $('AI-function: compare concepts').first().json.result.comparison_total;\nconst a_winner_total = comparison_total > 0;\nconst b_winner_total = comparison_total < 0;\nfeatures = [{\n LLM_model: $('Merge items').first().json.parameters.LLM_model.value,\n type: 'model_total',\n aspect_name: '-',\n feature_name: '-',\n a_winner: a_winner_total,\n a_score: toPerc(comparison_total),\n b_winner: b_winner_total,\n b_score: toPerc(-comparison_total),\n message: `Winner concept: ${$('AI-function: compare concepts').first().json.result.comparison_winner}\\nOther_details:\\nperspective_observer_strategy: ${$('AI-function: compare concepts').first().json.result.perspective_observer_strategy}\\npoint_of_view: ${$('AI-function: compare concepts').first().json.result.point_of_view}\\nsuperordinate_concept: ${$('AI-function: compare concepts').first().json.result.superordinate_concept}`\n }, \n ... features];\nreturn features;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
992,
0
],
"id": "be2e3669-b8f9-4bf8-aeb0-e6b8f2443acc",
"name": "Split items"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "ad40503a-0154-401b-98cb-5151db0c93bd",
"name": "ai_functions_url",
"value": "http://127.0.0.1:5001",
"type": "string"
},
{
"id": "a0fb242a-270d-4343-afdd-2ea693c9e4b3",
"name": "ai_functions_api_token",
"value": "xxx",
"type": "string"
},
{
"id": "8d4b81b8-5f92-4ff9-97c4-5ebcbc54f66e",
"name": "extra_information_retrieval_strategy",
"value": "Only_unbiased_authorative_sources: true",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
208,
0
],
"id": "0765eb51-9878-4f11-b357-1796083b6386",
"name": "Set properties"
},
{
"parameters": {
"method": "PUT",
"url": "={{ $json.properties.ai_functions_url }}/ai-func/concept_aspect_comparison",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Api-Token",
"value": "={{ $json.properties.ai_functions_api_token }}"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\"observer_context_description\": \"{{ $json.parameters.observer_context_description.value }}\", \"frame_of_reference\": \"{{ $json.parameters.frame_of_reference.value }}\",\n\"a_concept\": \"{{ $json.parameters.a_concept.value }}\",\n\"b_concept\": \"{{ $json.parameters.b_concept.value }}\", \"output_content_language\": \"{{ $json.parameters.output_content_language.value }}\",\n\"extra_information_retrieval_strategy\": \"{{ $json.properties.extra_information_retrieval_strategy }}\",\n\"meta\": {\"model\": \"{{ $json.parameters.LLM_model.value }}\"}} ",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.3,
"position": [
768,
0
],
"id": "86e2f6af-3efd-403d-bf95-8ea687b8e489",
"name": "AI-function: compare concepts"
},
{
"parameters": {
"operation": "get",
"dataTableId": {
"__rl": true,
"value": "Mc7cdh2eJFl2DB5Z",
"mode": "list",
"cachedResultName": "concept-comparison-input",
"cachedResultUrl": "/projects/QosD6QypqpaVnHlA/datatables/Mc7cdh2eJFl2DB5Z"
},
"returnAll": true
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
384,
0
],
"id": "2e17c18c-142d-49b0-896f-e40207ae316b",
"name": "Read input table"
},
{
"parameters": {
"operation": "deleteRows",
"dataTableId": {
"__rl": true,
"value": "c9OXF8AX7G7DVI9n",
"mode": "list",
"cachedResultName": "concept-comparison-output",
"cachedResultUrl": "/projects/QosD6QypqpaVnHlA/datatables/c9OXF8AX7G7DVI9n"
},
"filters": {
"conditions": [
{
"condition": "isNotEmpty"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
0,
192
],
"id": "7e18d02f-49e0-491b-abcc-8624c883dd98",
"name": "Clear output table",
"alwaysOutputData": true,
"disabled": true
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "c9OXF8AX7G7DVI9n",
"mode": "list",
"cachedResultName": "concept-comparison-output",
"cachedResultUrl": "/projects/QosD6QypqpaVnHlA/datatables/c9OXF8AX7G7DVI9n"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"a_concept_score": "={{ $json.a_score }}",
"b_concept_score": "={{ $json.b_score }}",
"aspect_feature": "={{ $json.feature_name || '-' }}",
"aspect_name": "={{ $json.aspect_name || '-' }}",
"a_concept_winner": "={{ $json.a_winner }}",
"b_concept_winner": "={{ $json.b_winner }}",
"type": "={{ $json.type }}",
"message": "={{ $json.message }}",
"LLM_model": "={{ $json.LLM_model }}"
},
"matchingColumns": [],
"schema": [
{
"id": "LLM_model",
"displayName": "LLM_model",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "type",
"displayName": "type",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "aspect_name",
"displayName": "aspect_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "aspect_feature",
"displayName": "aspect_feature",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "a_concept_winner",
"displayName": "a_concept_winner",
"required": false,
"defaultMatch": false,
"display": true,
"type": "boolean",
"readOnly": false,
"removed": false
},
{
"id": "a_concept_score",
"displayName": "a_concept_score",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "b_concept_winner",
"displayName": "b_concept_winner",
"required": false,
"defaultMatch": false,
"display": true,
"type": "boolean",
"readOnly": false,
"removed": false
},
{
"id": "b_concept_score",
"displayName": "b_concept_score",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "message",
"displayName": "message",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
1184,
0
],
"id": "68406bab-5063-4cf3-ba64-c3b0e9dcf37b",
"name": "Update output table"
}
],
"connections": {
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Set properties",
"type": "main",
"index": 0
}
]
]
},
"Merge items": {
"main": [
[
{
"node": "AI-function: compare concepts",
"type": "main",
"index": 0
}
]
]
},
"Split items": {
"main": [
[
{
"node": "Update output table",
"type": "main",
"index": 0
}
]
]
},
"Set properties": {
"main": [
[
{
"node": "Read input table",
"type": "main",
"index": 0
}
]
]
},
"AI-function: compare concepts": {
"main": [
[
{
"node": "Split items",
"type": "main",
"index": 0
}
]
]
},
"Read input table": {
"main": [
[
{
"node": "Merge items",
"type": "main",
"index": 0
}
]
]
},
"Clear output table": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "490c9a24-135e-4e10-94ff-27aaf44235c0",
"id": "Oa0L0tGz2uumQHDe",
"tags": []
}
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About this workflow
concept-comparison. Uses httpRequest, dataTable. Event-driven trigger; 8 nodes.
Source: https://github.com/ady1981/core-kbt/blob/b9b4556b04515eca87ffa83a9c2966bf3c0cca5c/examples/n8n/concept-comparison.json — original creator credit. Request a take-down →
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