This workflow follows the GitHub → HTTP Request 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 →
{
"name": "Semantic Duplicate Issue Detector",
"nodes": [
{
"parameters": {
"owner": {
"__rl": true,
"value": "REPLACE_OWNER",
"mode": "list"
},
"repository": {
"__rl": true,
"value": "REPLACE_REPO",
"mode": "list"
},
"events": [
"issues"
]
},
"id": "github-trigger",
"name": "New Issue Opened",
"type": "n8n-nodes-base.githubTrigger",
"typeVersion": 1,
"position": [
-1700,
-260
],
"credentials": {
"githubApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "only-opened",
"leftValue": "={{ $json.action }}",
"rightValue": "opened",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "filter-opened-only",
"name": "Only 'Opened' Events",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-1480,
-260
]
},
{
"parameters": {
"jsCode": "const issue = $input.first().json.issue;\nreturn [{\n json: {\n issueNumber: issue.number,\n title: issue.title,\n body: issue.body || '',\n combinedText: `${issue.title}\\n\\n${issue.body || ''}`.slice(0, 6000),\n url: issue.html_url\n }\n}];"
},
"id": "prepare-text-live",
"name": "Prepare Issue Text",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1260,
-260
]
},
{
"parameters": {
"method": "POST",
"url": "https://api.openai.com/v1/embeddings",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $credentials.openAiApi.apiKey }}"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ model: \"text-embedding-3-small\", input: $json.combinedText }) }}",
"options": {}
},
"id": "embed-live",
"name": "Embed New Issue (OpenAI)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-1040,
-260
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const vector = $input.first().json.data[0].embedding;\nconst prev = $('Prepare Issue Text').first().json;\nreturn [{ json: { ...prev, vector } }];"
},
"id": "extract-vector-live",
"name": "Extract Vector",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-820,
-260
]
},
{
"parameters": {
"method": "POST",
"url": "=REPLACE_QDRANT_URL/collections/REPLACE_COLLECTION_NAME/points/search",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "api-key",
"value": "REPLACE_QDRANT_API_KEY"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ vector: $json.vector, limit: 3, with_payload: true }) }}",
"options": {}
},
"id": "qdrant-search",
"name": "Search Similar Issues (Qdrant)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-600,
-260
]
},
{
"parameters": {
"jsCode": "const results = ($input.first().json.result || []).filter(\n r => r.payload.issueNumber !== $('Prepare Issue Text').first().json.issueNumber\n);\nconst best = results[0] || null;\nreturn [{\n json: {\n ...$('Extract Vector').first().json,\n bestMatchScore: best ? best.score : 0,\n bestMatchIssueNumber: best ? best.payload.issueNumber : null,\n bestMatchTitle: best ? best.payload.title : null\n }\n}];"
},
"id": "parse-search-result",
"name": "Parse Best Match",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-380,
-260
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "score-threshold",
"leftValue": "={{ $json.bestMatchScore }}",
"rightValue": 0.87,
"operator": {
"type": "number",
"operation": "gte"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "is-likely-duplicate",
"name": "Score >= 0.87?",
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-160,
-260
]
},
{
"parameters": {
"resource": "issue",
"operation": "createComment",
"owner": {
"__rl": true,
"value": "REPLACE_OWNER",
"mode": "list"
},
"repository": {
"__rl": true,
"value": "REPLACE_REPO",
"mode": "list"
},
"issueNumber": "={{ $json.issueNumber }}",
"body": "=\ud83d\udd0d This issue looks similar to #{{ $json.bestMatchIssueNumber }} \u2014 \"{{ $json.bestMatchTitle }}\" (similarity score: {{ $json.bestMatchScore.toFixed(3) }}).\n\nThis is an automated suggestion, not a decision \u2014 a maintainer will confirm whether this is a true duplicate."
},
"id": "comment-possible-duplicate",
"name": "Comment: Possible Duplicate",
"type": "n8n-nodes-base.github",
"typeVersion": 1,
"position": [
60,
-340
],
"credentials": {
"githubApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"method": "PUT",
"url": "=REPLACE_QDRANT_URL/collections/REPLACE_COLLECTION_NAME/points",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "api-key",
"value": "REPLACE_QDRANT_API_KEY"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ points: [{ id: $json.issueNumber, vector: $json.vector, payload: { issueNumber: $json.issueNumber, title: $json.title, url: $json.url } }] }) }}",
"options": {}
},
"id": "qdrant-upsert-live",
"name": "Index This Issue (Qdrant Upsert)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
280,
-260
]
},
{
"parameters": {},
"id": "manual-trigger-backfill",
"name": "Run Once: Backfill Existing Issues",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-1700,
300
]
},
{
"parameters": {
"resource": "issue",
"operation": "getAll",
"owner": {
"__rl": true,
"value": "REPLACE_OWNER",
"mode": "list"
},
"repository": {
"__rl": true,
"value": "REPLACE_REPO",
"mode": "list"
},
"returnAll": true,
"filters": {
"state": "open"
}
},
"id": "github-get-all-issues",
"name": "Get All Open Issues",
"type": "n8n-nodes-base.github",
"typeVersion": 1,
"position": [
-1480,
300
],
"credentials": {
"githubApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"batchSize": 1,
"options": {}
},
"id": "split-in-batches",
"name": "Loop One Issue At A Time",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
-1260,
300
]
},
{
"parameters": {
"jsCode": "const issue = $input.first().json;\nreturn [{\n json: {\n issueNumber: issue.number,\n title: issue.title,\n body: issue.body || '',\n combinedText: `${issue.title}\\n\\n${issue.body || ''}`.slice(0, 6000),\n url: issue.html_url\n }\n}];"
},
"id": "prepare-text-backfill",
"name": "Prepare Issue Text (Backfill)",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-1040,
300
]
},
{
"parameters": {
"method": "POST",
"url": "https://api.openai.com/v1/embeddings",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $credentials.openAiApi.apiKey }}"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ model: \"text-embedding-3-small\", input: $json.combinedText }) }}",
"options": {}
},
"id": "embed-backfill",
"name": "Embed Issue (OpenAI)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-820,
300
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const vector = $input.first().json.data[0].embedding;\nconst prev = $('Prepare Issue Text (Backfill)').first().json;\nreturn [{ json: { ...prev, vector } }];"
},
"id": "extract-vector-backfill",
"name": "Extract Vector (Backfill)",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-600,
300
]
},
{
"parameters": {
"method": "PUT",
"url": "=REPLACE_QDRANT_URL/collections/REPLACE_COLLECTION_NAME/points",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "api-key",
"value": "REPLACE_QDRANT_API_KEY"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ points: [{ id: $json.issueNumber, vector: $json.vector, payload: { issueNumber: $json.issueNumber, title: $json.title, url: $json.url } }] }) }}",
"options": {}
},
"id": "qdrant-upsert-backfill",
"name": "Index Issue (Qdrant Upsert)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-380,
300
]
},
{
"parameters": {
"amount": 1,
"unit": "seconds"
},
"id": "rate-limit-wait",
"name": "Wait (Avoid Rate Limit)",
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
-160,
300
]
}
],
"connections": {
"New Issue Opened": {
"main": [
[
{
"node": "Only 'Opened' Events",
"type": "main",
"index": 0
}
]
]
},
"Only 'Opened' Events": {
"main": [
[
{
"node": "Prepare Issue Text",
"type": "main",
"index": 0
}
]
]
},
"Prepare Issue Text": {
"main": [
[
{
"node": "Embed New Issue (OpenAI)",
"type": "main",
"index": 0
}
]
]
},
"Embed New Issue (OpenAI)": {
"main": [
[
{
"node": "Extract Vector",
"type": "main",
"index": 0
}
]
]
},
"Extract Vector": {
"main": [
[
{
"node": "Search Similar Issues (Qdrant)",
"type": "main",
"index": 0
}
]
]
},
"Search Similar Issues (Qdrant)": {
"main": [
[
{
"node": "Parse Best Match",
"type": "main",
"index": 0
}
]
]
},
"Parse Best Match": {
"main": [
[
{
"node": "Score >= 0.87?",
"type": "main",
"index": 0
}
]
]
},
"Score >= 0.87?": {
"main": [
[
{
"node": "Comment: Possible Duplicate",
"type": "main",
"index": 0
}
],
[
{
"node": "Index This Issue (Qdrant Upsert)",
"type": "main",
"index": 0
}
]
]
},
"Comment: Possible Duplicate": {
"main": [
[
{
"node": "Index This Issue (Qdrant Upsert)",
"type": "main",
"index": 0
}
]
]
},
"Run Once: Backfill Existing Issues": {
"main": [
[
{
"node": "Get All Open Issues",
"type": "main",
"index": 0
}
]
]
},
"Get All Open Issues": {
"main": [
[
{
"node": "Loop One Issue At A Time",
"type": "main",
"index": 0
}
]
]
},
"Loop One Issue At A Time": {
"main": [
[],
[
{
"node": "Prepare Issue Text (Backfill)",
"type": "main",
"index": 0
}
]
]
},
"Prepare Issue Text (Backfill)": {
"main": [
[
{
"node": "Embed Issue (OpenAI)",
"type": "main",
"index": 0
}
]
]
},
"Embed Issue (OpenAI)": {
"main": [
[
{
"node": "Extract Vector (Backfill)",
"type": "main",
"index": 0
}
]
]
},
"Extract Vector (Backfill)": {
"main": [
[
{
"node": "Index Issue (Qdrant Upsert)",
"type": "main",
"index": 0
}
]
]
},
"Index Issue (Qdrant Upsert)": {
"main": [
[
{
"node": "Wait (Avoid Rate Limit)",
"type": "main",
"index": 0
}
]
]
},
"Wait (Avoid Rate Limit)": {
"main": [
[
{
"node": "Loop One Issue At A Time",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
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.
githubApiopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Semantic Duplicate Issue Detector. Uses githubTrigger, httpRequest, github. Event-driven trigger; 18 nodes.
Source: https://github.com/Skull-boy/n8n_workflows/blob/main/workflows/duplicate-issue-detector/workflow.json — original creator credit. Request a take-down →
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