Leverage the power of n8n and Ollama to create engaging AI chat interactions with local Language Learning Models (LLMs). This streamlined workflow is ideal for AI-powered automation users looking to enhance customer engagement and support. Requires 1 account: ollama API. Save hours on manual communication by automating responses, ensuring timely and intelligent interactions that drive satisfaction and boost productivity.
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AI Features
Credentials
Copy or download to import into your n8n instance
{ "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": 1.1 }, { "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": 1.4 } ], "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 } ] ] } } }
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Configure credentials and update service-specific settings before executing the workflow. Review required credentials in the Technical Details section above.