Workflow: design n8n workflow for Stickynote Send Triggered
Integrations: stickyNote

{"meta": {"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9", "templateCredsSetupCompleted": true}, "nodes": [{"id": "27e5f0c0-ba88-4c28-b3be-99c973be15cb", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-480, -140], "parameters": {"width": 1083, "height": 357, "content": "## This is an example of basic LLM Chain connected to an open-source model\n### The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this\n\nPlease note the initial prompt that guides the model:\n```\nYou are a helpful assistant.\nPlease reply politely to the users.\nUse emojis and a text.\nQ: {{ $json.input }}\nA: \n```\n\nThis way the model \"knows\" that it needs to answer the question right after the `A: `.\n\nSince Hugging Face node is this is an inference mode, it does not support LangChain Agents at the moment. Please use [Ollama Chat Model](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatollama/) node for that"}, "typeVersion": 1}, {"id": "4756d5a8-7027-4942-b214-a5ff8310869a", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [-200, 280], "webhookId": "bf2e38b8-566a-4aeb-8efe-28240f4a6991", "parameters": {"options": {}}, "typeVersion": 1.1}, {"id": "20a36351-8579-4ac6-9746-526b072aeaa6", "name": "Basic LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [20, 280], "parameters": {"messages": {"messageValues": [{"message": "=You are a helpful assistant. Please reply politely to the users. Use emojis and a text."}]}}, "typeVersion": 1.5}, {"id": "9b88e307-3ad5-4167-8c5f-e5827f7444ac", "name": "Hugging Face Inference Model", "type": "@n8n/n8n-nodes-langchain.lmOpenHuggingFaceInference", "position": [120, 440], "parameters": {"model": "mistralai/Mistral-7B-Instruct-v0.1", "options": {"maxTokens": 512, "temperature": 0.8, "frequencyPenalty": 2}}, "credentials": {"huggingFaceApi": {"id": "ARQ5mOhvBxi283Qk", "name": "HuggingFaceApi account"}}, "typeVersion": 1}], "pinData": {}, "connections": {"When chat message received": {"main": [[{"node": "Basic LLM Chain", "type": "main", "index": 0}]]}, "Hugging Face Inference Model": {"ai_languageModel": [[{"node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0}]]}}}