AI Agents
Chat with locals using n8n and
5 nodes
245
120
Automatic trigger
Workflow Description
This template enables building an intelligent chatbot agent using local language models via Ollama and n8n, delivering natural and responsive conversations while maintaining complete data privacy and control.
How it works
- 1.Initialize chat trigger to receive user messages
- 2.Process input through local Ollama language model
- 3.Chain LLM responses to maintain context and coherence
- 4.Return generated response to user
Use cases
- Deploy customer support agents on restricted infrastructures
- Create privacy-first conversational systems for regulated industries
Requirements
- Ollama model installed and running locally
- n8n platform available and configured
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
Lm Chat Ollama
LLM Chain
Details
Trigger
Automatic trigger
Nodes
5
Apps
3
Views
245
Downloads
120
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (5)
When chat message received
Chat Trigger
Ollama Chat Model
Lm Chat Ollama
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Chat LLM Chain
LLM Chain