This workflow follows the Agent → Chat 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 →
{
"name": "ConfluenceAssisstant",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.3,
"position": [
-272,
-128
],
"id": "a6a0d129-b92e-4a49-b1d9-efbe9fac74e5",
"name": "When chat message received"
},
{
"parameters": {
"options": {
"dimensions": 512
}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
384,
288
],
"id": "b9f95ade-b6b6-4727-b94c-312d2747a364",
"name": "Embeddings OpenAI1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {
"systemMessage": "You are a helpful assistant that searches knowledge base to get any details related to user query.\n\nOutput: The information understood from the knowledgebase. Give a list of PageIds the data is populated from"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
320,
-144
],
"id": "94925913-a9dc-464a-9ba4-19b15996046a",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
192,
64
],
"id": "e65c61d7-a471-48c8-8038-fafcc81b934b",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolDescription": "Use this tool to search the internal knowledgebase",
"pineconeIndex": {
"__rl": true,
"value": "confluence",
"mode": "list",
"cachedResultName": "confluence"
},
"options": {
"pineconeNamespace": "demo"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1.3,
"position": [
384,
96
],
"id": "8456cd72-8641-4bbd-a134-3d3129ee9773",
"name": "Pinecone Vector Store",
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"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
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "7e7690ff-f078-4bbf-b068-c7a1edf38959",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "shmFQhpetzVpHnqE",
"tags": []
}
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.
openAiApipineconeApi
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About this workflow
ConfluenceAssisstant. Uses chatTrigger, embeddingsOpenAi, agent, lmChatOpenAi. Chat trigger; 5 nodes.
Source: https://github.com/mkhajuriwala/genAIProjects/blob/master/N8N/ConfluenceKnowledgeBase/ConfluenceAssisstant.json — original creator credit. Request a take-down →
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