Workflow: Stickynote Automation

{
    "id": "af8RV5b2TWB2LclA",
    "meta": {
        "instanceId": "95f2ab28b3dabb8da5d47aa5145b95fe3845f47b20d6343dd5256b6a28ba8fab",
        "templateCredsSetupCompleted": true
    },
    "name": "Chat with local LLMs using n8n and Ollama",
    "tags": [],
    "nodes": [
        {
            "id": "475385fa-28f3-45c4-bd1a-10dde79f74f2",
            "name": "When chat message received",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
            "position": [
                700,
                460
            ],
            "webhookId": "ebdeba3f-6b4f-49f3-ba0a-8253dd226161",
            "parameters": {
                "options": []
            },
            "typeVersion": 1.100000000000000088817841970012523233890533447265625
        },
        {
            "id": "61133dc6-dcd9-44ff-85f2-5d8cc2ce813e",
            "name": "Ollama Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOllama",
            "position": [
                900,
                680
            ],
            "parameters": {
                "options": []
            },
            "credentials": {
                "ollamaApi": {
                    "id": "MyYvr1tcNQ4e7M6l",
                    "name": "Local Ollama"
                }
            },
            "typeVersion": 1
        },
        {
            "id": "3e89571f-7c87-44c6-8cfd-4903d5e1cdc5",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                160,
                80
            ],
            "parameters": {
                "width": 485,
                "height": 473,
                "content": "## Chat with local LLMs using n8n and Ollama\nThis n8n workflow allows you to seamlessly interact with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. By connecting to Ollama, a powerful tool for managing local LLMs, you can send prompts and receive AI-generated responses directly within n8n.\n\n### How it works\n1. When chat message received: Captures the user's input from the chat interface.\n2. Chat LLM Chain: Sends the input to the Ollama server and receives the AI-generated response.\n3. Delivers the LLM's response back to the chat interface.\n\n### Set up steps\n* Make sure Ollama is installed and running on your machine before executing this workflow.\n* Edit the Ollama address if different from the default.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "9345cadf-a72e-4d3d-b9f0-d670744065fe",
            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1040,
                660
            ],
            "parameters": {
                "color": 6,
                "width": 368,
                "height": 258,
                "content": "## Ollama setup\n* Connect to your local Ollama, usually on http:\/\/localhost:11434\n* If running in Docker, make sure that the n8n container has access to the host's network in order to connect to Ollama. You can do this by passing `--net=host` option when starting the n8n Docker container"
            },
            "typeVersion": 1
        },
        {
            "id": "eeffdd4e-6795-4ebc-84f7-87b5ac4167d9",
            "name": "Chat LLM Chain",
            "type": "@n8n\/n8n-nodes-langchain.chainLlm",
            "position": [
                920,
                460
            ],
            "parameters": [],
            "typeVersion": 1.399999999999999911182158029987476766109466552734375
        }
    ],
    "active": false,
    "pinData": [],
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "3af03daa-e085-4774-8676-41578a4cba2d",
    "connections": {
        "Ollama Chat Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "Chat LLM Chain",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "When chat message received": {
            "main": [
                [
                    {
                        "node": "Chat LLM Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}