yusan25c This workflow corresponds to n8n.io template #9087 — we link there as the canonical source.
This workflow follows the Agent → OpenAI Embeddings 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": "EA4KBc02CzW5rsGe",
"name": "Jira Knowledge Sync - Minimal (Summary \u2192 Comment & Assignee)",
"tags": [],
"nodes": [
{
"id": "145032ef-4fe8-41f5-826b-28ccdb708f0a",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1500,
60
],
"parameters": {
"text": "=# \u30bf\u30a4\u30c8\u30eb\n{{ $('Code1').first().json.summary }}\n\n# \u8aac\u660e\n{{ $('Code1').first().json.description }}\n\n# \u30b3\u30e1\u30f3\u30c8\u5c65\u6b74\n{{ $json.comments }}",
"options": {
"systemMessage": "\u3042\u306a\u305f\u306f\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u958b\u767a\u8005\u3067\u3059\u3002\u30bf\u30b9\u30af\u304c\u30a2\u30b5\u30a4\u30f3\u3055\u308c\u307e\u3057\u305f\u3002\u904e\u53bb\u306e\u77e5\u898b\u3092\u5229\u7528\u3057\u3066\u5bfe\u5fdc\u3092\u3057\u3066\u304f\u3060\u3055\u3044\u3002output\u306e\u5185\u5bb9\u3092\u305d\u306e\u307e\u307eJira\u306e\u30b3\u30e1\u30f3\u30c8\u6b04\u306b\u8a18\u8f09\u3057\u307e\u3059\u3002\u307e\u305f\u95a2\u9023\u3059\u308b\u904e\u53bb\u306e\u77e5\u898b\u306fID\u3082\u5408\u308f\u305b\u3066\u56de\u7b54\u3057\u3066\u304f\u3060\u3055\u3044\u3002"
},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "a535a477-1dff-40ec-b9ab-5ef39ae7df81",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1460,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"notesInFlow": false,
"typeVersion": 1.2
},
{
"id": "08e9c208-9c18-44a8-977c-7aaeef659ff5",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
1600,
260
],
"parameters": {
"mode": "retrieve-as-tool",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "id",
"value": "<Pinecone Index\u3092\u5165\u529b>"
},
"toolDescription": "jira\u60c5\u5831"
},
"typeVersion": 1.3
},
{
"id": "c667b76b-e39f-4d2d-9fb8-090c6714fe14",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1640,
400
],
"parameters": {
"options": {
"dimensions": 1536
}
},
"typeVersion": 1.2
},
{
"id": "58583546-0717-44f7-8c0a-1439e41c5777",
"name": "Jira Issue List",
"type": "n8n-nodes-base.jira",
"position": [
160,
0
],
"parameters": {
"options": {
"jql": "assignee = \uff1c\u30a2\u30ab\u30a6\u30f3\u30c8ID\u3092\u5165\u529b\u3057\u3066\u304f\u3060\u3055\u3044\uff1e"
},
"operation": "getAll"
},
"typeVersion": 1
},
{
"id": "7fe43277-2fe6-4d17-ae59-43f5bd76d63b",
"name": "Jira Issue Detail",
"type": "n8n-nodes-base.jira",
"position": [
780,
220
],
"parameters": {
"limit": 5,
"options": {},
"issueKey": "={{ $json.id }}",
"resource": "issueComment",
"operation": "getAll"
},
"typeVersion": 1
},
{
"id": "23f2d27a-d245-45c2-b168-afd4285342ad",
"name": "Jira Add Comment",
"type": "n8n-nodes-base.jira",
"position": [
1980,
260
],
"parameters": {
"comment": "={{ $json.output }}",
"options": {},
"issueKey": "={{ $('Code1').first().json.id }}",
"resource": "issueComment"
},
"typeVersion": 1
},
{
"id": "36551197-cca6-4d18-aca1-cb8e9c20c65c",
"name": "Jira Assign",
"type": "n8n-nodes-base.jira",
"position": [
2180,
440
],
"parameters": {
"issueKey": "={{ $('Code1').first().json.id }}",
"operation": "update",
"updateFields": {
"assignee": {
"__rl": true,
"mode": "id",
"value": "={{ $('Code2').item.json.accountId }}"
}
}
},
"typeVersion": 1
},
{
"id": "6fbc53a3-cbd5-4da6-8587-1ef2c100569c",
"name": "check accountId",
"type": "n8n-nodes-base.if",
"position": [
1180,
220
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d717f6a8-6736-44e5-a131-ee77ffeb4c83",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.accountId }}",
"rightValue": "\uff1c\u30a2\u30ab\u30a6\u30f3\u30c8ID\u3092\u5165\u529b\u3057\u3066\u304f\u3060\u3055\u3044\uff1e"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "18548988-495d-4c5f-8dd0-c245881ce995",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
360,
100
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "228b44b3-ba50-475a-9df0-13f335834bb5",
"name": "Code1",
"type": "n8n-nodes-base.code",
"position": [
560,
220
],
"parameters": {
"jsCode": "return {\n 'id': $input.first().json.id,\n 'summary': $input.first().json.fields.summary,\n 'description': $input.first().json.fields.description,\n}"
},
"executeOnce": true,
"typeVersion": 2
},
{
"id": "f3b79caf-f65d-459e-8e1b-bd9dc16dc17b",
"name": "Code2",
"type": "n8n-nodes-base.code",
"position": [
980,
220
],
"parameters": {
"jsCode": "let comments = '';\nlet accountId = '';\nfor (const item of $input.all()) {\n comments += '## ' + item.json.updated\n comments += '\\n'\n comments += item.json.body.content[0].content[0].text\n comments += '\\n'\n comments += '\\n'\n\n accountId = item.json.updateAuthor.accountId\n}\n\nreturn {\n 'comments': comments,\n 'accountId': accountId\n};"
},
"typeVersion": 2
},
{
"id": "3d03736b-5ec9-465c-b5de-1a58b7470b9a",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-40,
0
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.2
},
{
"id": "18113aa5-3964-4870-bcdd-173659825115",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-120,
-140
],
"parameters": {
"height": 820,
"content": "## Step1 \nScheduled Execution"
},
"typeVersion": 1
},
{
"id": "409f405e-6e9e-4498-993b-a4d63db96720",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
140,
-140
],
"parameters": {
"color": 4,
"width": 1240,
"height": 820,
"content": "## Step2\nJira Trigger (Issue Assigned)"
},
"typeVersion": 1
},
{
"id": "ff7675e6-5afb-4117-86ff-64e005558b06",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1400,
-140
],
"parameters": {
"color": 5,
"width": 500,
"height": 820,
"content": "## Step3\nAI Assistant"
},
"typeVersion": 1
},
{
"id": "f31aaf67-fa23-45b8-8f52-af3738dd3f52",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1920,
-140
],
"parameters": {
"color": 6,
"width": 500,
"height": 820,
"content": "## Step4\nResponse Generation / Ticket Update"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "72ac3c2c-4590-4f79-adad-946aeca43540",
"connections": {
"Code1": {
"main": [
[
{
"node": "Jira Issue Detail",
"type": "main",
"index": 0
}
]
]
},
"Code2": {
"main": [
[
{
"node": "check accountId",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Jira Add Comment",
"type": "main",
"index": 0
}
]
]
},
"Jira Assign": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Jira Issue List": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Code1",
"type": "main",
"index": 0
}
]
]
},
"check accountId": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Jira Add Comment": {
"main": [
[
{
"node": "Jira Assign",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Jira Issue List",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Jira Issue Detail": {
"main": [
[
{
"node": "Code2",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This template is an n8n workflow that integrates with Jira to provide automated replies.
Source: https://n8n.io/workflows/9087/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
WooriFisa. Uses agent, httpRequest, documentDefaultDataLoader, vectorStorePinecone. Scheduled trigger; 86 nodes.
Agent, HTTP Request, Document Default Data Loader +14
This workflow automates patient communication for medical clinics using the WhatsApp Business API. It supports appointment booking, rescheduling, service inquiries, follow-ups, and document submission
Google Sheets, Data Table, Data Table Tool +12
WooriFisa 최종. Uses memoryMongoDbChat, agent, httpRequest, documentDefaultDataLoader. Scheduled trigger; 68 nodes.
Memory Mongo Db Chat, Agent, HTTP Request +14
Collects cybersecurity news from trusted RSS feeds and uses OpenAI’s Retrieval-Augmented Generation (RAG) capabilities with Pinecone to filter for content that is directly relevant to your organizatio
RSS Feed Read, OpenAI Chat, Agent +7
> Note: This template requires an Apify account, an OpenAI account, and a Pinecone database.
Telegram, Telegram Trigger, OpenAI Embeddings +7