🗨️Ollama Chat

🦙 Ollama Chat Workflow A simple N8N workflow that integrates Ollama LLM for chat message processing and returns a structured JSON object. Overview This workflow creates a chat interface that processes messages using the Llama 3.2 model through Ollama. When a chat message is received, it gets processed through a basic LLM chain and returns a response. Components - Trigger Node - Processing Node - Model Node - JSON to Object Node - Structured Response Node - Error Response Node Workflow Struct

Integrations Used (3)

Chat

Chainllm

Lmollama

Workflow Structure (6 nodes)

100%

Langchain.chat Trigger

When chat message received

Langchain.chain Llm

Basic LLM Chain

Set

JSON to Object

Set

Structured Response

Langchain.lm Ollama

Ollama Model

Set

Error Response

Node Types:

trigger

default

transform

Requires credentials

Prerequisites

Required Credentials (1)

Ollama

Used by: Ollama Model

Docs

Complexity

Simple

Great for beginners. Few nodes, straightforward setup.

Setup time: ~15 min

Score: 15/100

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "Telr6HU0ltH7s9f7",
  "meta": {
    "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"
  },
  "name": "🗨️Ollama Chat",
  "tags": [],
  "nodes": [
    {
      "id": "9560e89b-ea08-49dc-924e-ec8b83477340",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        280,
        60
      ],
      "webhookId": "4d06a912-2920-489c-a33c-0e3ea0b66745",
      "parameters": {
        "options": {}
      },
...