{
  "name": "Extract personal data with a self-hosted LLM Mistral NeMo",
  "nodes": [
    {
      "id": "7e67ae65-88aa-4e48-aa63-2d3a4208cf4b",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -500,
        20
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "e064921c-69e6-4cfe-a86e-4e3aa3a5314a",
      "name": "Ollama Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
      "position": [
        -280,
        420
      ],
      "parameters": {
        "model": "mistral-nemo:latest",
        "options": {
          "useMLock": true,
          "keepAlive": "2h",
          "temperature": 0.1
        }
      },
      "typeVersion": 1
    },
    {
      "id": "fe1379da-a12e-4051-af91-9d67a7c9a76b",
      "name": "Auto-fixing Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        -200,
        220
      ],
      "parameters": {
        "options": {
          "prompt": "Instructions:\n--------------\n{instructions}\n--------------\nCompletion:\n--------------\n{completion}\n--------------\n\nAbove, the Completion did not satisfy the constraints given in the Instructions.\nError:\n--------------\n{error}\n--------------\n\nPlease try again. Please only respond with an answer that satisfies the constraints laid out in the Instructions:"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b6633b00-6ebb-43ca-8e5c-664a53548c17",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        60,
        400
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"Name of the user\"\n },\n \"surname\": {\n \"type\": \"string\",\n \"description\": \"Surname of the user\"\n },\n \"commtype\": {\n \"type\": \"string\",\n \"enum\": [\"email\", \"phone\", \"other\"],\n \"description\": \"Method of communication\"\n },\n \"contacts\": {\n \"type\": \"string\",\n \"description\": \"Contact details. ONLY IF PROVIDED\"\n },\n \"timestamp\": {\n \"type\": \"string\",\n \"format\": \"date-time\",\n \"description\": \"When the communication occurred\"\n },\n \"subject\": {\n \"type\": \"string\",\n \"description\": \"Brief description of the communication topic\"\n }\n },\n \"required\": [\"name\", \"commtype\"]\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "23681a6c-cf62-48cb-86ee-08d5ce39bc0a",
      "name": "Basic LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "onError": "continueErrorOutput",
      "position": [
        -240,
        20
      ],
      "parameters": {
        "messages": {
          "messageValues": [
            {
              "message": "=Please analyse the incoming user request. Extract information according to the JSON schema. Today is: \"{{ $now.toISO() }}\""
            }
          ]
        },
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "8f4d1b4b-58c0-41ec-9636-ac555e440821",
      "name": "On Error",
      "type": "n8n-nodes-base.noOp",
      "position": [
        200,
        140
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f4d77736-4470-48b4-8f61-149e09b70e3e",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -560,
        -160
      ],
      "parameters": {
        "color": 2,
        "width": 960,
        "height": 500,
        "content": "## Update data source\nWhen you change the data source, remember to update the `Prompt Source (User Message)` setting in the **Basic LLM Chain node**."
      },
      "typeVersion": 1
    },
    {
      "id": "5fd273c8-e61d-452b-8eac-8ac4b7fff6c2",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -560,
        340
      ],
      "parameters": {
        "color": 2,
        "width": 440,
        "height": 220,
        "content": "## Configure local LLM\nOllama offers additional settings \nto optimize model performance\nor memory usage."
      },
      "typeVersion": 1
    },
    {
      "id": "63cbf762-0134-48da-a6cd-0363e870decd",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        340
      ],
      "parameters": {
        "color": 2,
        "width": 400,
        "height": 220,
        "content": "## Define JSON Schema"
      },
      "typeVersion": 1
    },
    {
      "id": "9625294f-3cb4-4465-9dae-9976e0cf5053",
      "name": "Extract JSON Output",
      "type": "n8n-nodes-base.set",
      "position": [
        200,
        -80
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "={{ $json.output }}\n"
      },
      "typeVersion": 3.4
    },
    {
      "id": "2c6fba3b-0ffe-4112-b904-823f52cc220b",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -560,
        200
      ],
      "parameters": {
        "width": 960,
        "height": 120,
        "content": "If the LLM response does not pass \nthe **Structured Output Parser** checks,\n**Auto-Fixer** will call the model again with a different \nprompt to correct the original response."
      },
      "typeVersion": 1
    },
    {
      "id": "c73ba1ca-d727-4904-a5fd-01dd921a4738",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -560,
        460
      ],
      "parameters": {
        "height": 80,
        "content": "The same LLM connects to both **Basic LLM Chain** and to the **Auto-fixing Output Parser**. \n"
      },
      "typeVersion": 1
    },
    {
      "id": "193dd153-8511-4326-aaae-47b89d0cd049",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        440
      ],
      "parameters": {
        "width": 200,
        "height": 100,
        "content": "When the LLM model responds, the output is checked in the **Structured Output Parser**"
      },
      "typeVersion": 1
    },
    {
      "id": "70375ae9-0334-500f-b76d-a2f9d1ac3746",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -1360,
        -160
      ],
      "parameters": {
        "content": "# Extract personal data with a self-hosted LLM Mistral NeMo\n\n## Purpose and structure\nThis folder contains the **Extract personal data with a self-hosted LLM Mistral NeMo** workflow. Its executable nodes use `chainLlm`, `chatTrigger`, `lmChatOllama`, `noOp`, `outputParserAutofixing`, `outputParserStructured`, `set`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen chat message received\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Noop/1442_Noop_Stickynote_Automation_Triggered.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "connections": {
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Extract JSON Output",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "On Error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Ollama Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Auto-fixing Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
