Chatbot Workflow

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": "Chatbot Workflow",
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.1,
      "position": [
        -420,
        -260
      ],
      "id": "934bf5d1-d480-4ed8-add1-e4047e8a0933",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json?.chatInput ?? $json?.body?.question }}",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.8,
      "position": [
        -168,
        -160
      ],
      "id": "3265c753-ca22-48f3-98c0-b8f5be9d8bbc",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        -200,
        60
      ],
      "id": "efed4a37-793c-4597-ace5-0602d8dc91c8",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "sessionIdType": "customKey",
        "sessionKey": "={{ $json?.sessionId ?? $('Webhook')?.item?.json?.body?.sessionId ?? \"\" }}"
      },
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        -80,
        60
      ],
      "id": "5bc5d373-e45d-4f05-8426-f1d66be617a1",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "sseEndpoint": "http://127.0.0.1:5678/mcp/vw-mcp/sse"
      },
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "typeVersion": 1,
      "position": [
        40,
        60
      ],
      "id": "db29a4f7-9c76-459b-a874-b5c0201ae517",
      "name": "MCP Client"
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "vw-chat",
        "responseMode": "responseNode",
        "options": {}
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        -420,
        -60
      ],
      "id": "4afaa908-da53-4152-9499-e7220512a3c2",
      "name": "Webhook"
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"answer\": \"{{ $json.output }}\"\n} ",
        "options": {}
      },
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        240,
        -60
      ],
      "id": "4b1d444a-e6ad-4e32-a45f-d6ab9287e9c6",
      "name": "Respond to Webhook"
    },
    {
      "parameters": {
        "queue": "denemequeue",
        "sendInputData": false,
        "message": "={{ $json.output }}",
        "options": {}
      },
      "type": "n8n-nodes-base.rabbitmq",
      "typeVersion": 1.1,
      "position": [
        240,
        -260
      ],
      "id": "2fc18012-5cb7-4261-bc7c-a55710f36cf2",
      "name": "RabbitMQ",
      "credentials": {
        "rabbitmq": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "MCP Client": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Webhook": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          },
          {
            "node": "RabbitMQ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Respond to Webhook": {
      "main": [
        []
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "4a91934d-4b0c-4d81-aa9c-5f8f462be2f3",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "rvmFhjUTR1nz92Zk",
  "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.

• openAiApi
• rabbitmq

About this workflow

Chatbot Workflow. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 8 nodes.

Source: https://github.com/AimTune/aimtune.github.io/blob/187067bdd03a69b70c16b0dd93c336ed17a269cb/examples/n8n-workflows/Chatbot_Workflow.json — original creator credit. Request a take-down →

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