AI Agents
Chat with locals using n8n and
5 nodes
202
119
Automatic trigger
Workflow Description
An automation template that leverages the local Ollama chat engine with LLM Chain to build an intelligent conversational agent. It receives user messages through a chat interface and processes them locally without external service dependencies, ensuring complete privacy and independence.
How it works
- 1.Enable the chat interface to receive user messages
- 2.Process inputs through the local Ollama language model
- 3.Pass the message through the LLM Chain to generate intelligent responses
- 4.Send the response back to the user through the chat interface
Use cases
- Build a self-contained customer support agent running on internal infrastructure
- Develop secure conversational systems that prevent data leakage
Requirements
- An active n8n server instance
- Installed Ollama engine with a configured local language model
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
202
Downloads
119
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