AI Agents
Build an intelligent chat agent with local language models
5 nodes
298
133
Automatic trigger
Workflow Description
An automation that creates a conversational agent powered by local language models, receiving user queries through a chat interface and processing them using Ollama, then returning intelligent responses while maintaining complete data privacy and offline operation.
How it works
- 1.Enable the chat trigger to receive incoming user messages
- 2.Process the message through the local Ollama language model
- 3.Chain multiple LLM calls to refine the response and deliver the result
Use cases
- Create a customer support bot that operates independently without external API dependencies
- Build an internal company assistant that keeps sensitive data on-premises
Requirements
- Ollama installed on your server with a downloaded language model
- n8n configured with direct connectivity to your Ollama instance
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
298
Downloads
133
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