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Confluenceassisstant

ConfluenceAssisstant. Uses chatTrigger, embeddingsOpenAi, agent, lmChatOpenAi. Chat trigger; 5 nodes.

Chat trigger trigger★★☆☆☆ complexityAI-powered5 nodesChat TriggerOpenAI EmbeddingsAgentOpenAI ChatPinecone Vector Store
AI & RAG Trigger: Chat trigger Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes Added:

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 →

Download .json
{
  "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": []
}

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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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