Chat with Local LLMs using n8n and Ollama

Name: Chat with Local LLMs using n8n and Ollama
Rating: 4.0 (1 reviews)
Author: Free N8N

Beginner

0 nodes connected

detail.loadingPreview

Free N8N Temples

13 views

0 downloads

AI / Machine Learningautomationchatllmlocal-aiollama

Interact with self-hosted Large Language Models (LLMs) via a chat interface in n8n.

🚀Ready to Deploy This Workflow?

⚡Deploy on Zeabur 🎁Get $200 Credit on DigitalOcean

About This Workflow

Overview

This n8n workflow enables seamless interaction with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. It connects to Ollama, a tool for managing local LLMs, allowing you to send prompts and receive AI-generated responses directly within n8n.

Key Features

Integrates with Ollama for local LLM access.
Provides a chat interface for prompt input and response output.
Leverages n8n's automation capabilities.

How To Use

Ensure Ollama is installed and running on your machine.
Import this workflow into your n8n instance.
Configure the Ollama connection, updating the address if it differs from the default.
If running n8n in Docker, ensure the container has host network access (--net=host) to connect to Ollama.

Apps Used

automation

chat

llm

local-ai

ollama

Workflow JSON

{
  "id": "e99f3b45-da79-4f7a-b426-a66ddee2d583",
  "name": "Chat with Local LLMs using n8n and Ollama",
  "nodes": 0,
  "category": "AI / Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.