AI Agents
Automated workflow
14 nodes
294
192
Automatic trigger
Workflow Description
An automated workflow powered by intelligent agents that processes user inquiries through a chat interface and generates contextual responses using a local language model, ensuring privacy and offline operation without external API dependencies.
How it works
- 1.Receive user inquiry through the chat trigger
- 2.Route the request to the LLM chain processor
- 3.Generate response using the local Ollama language model
- 4.Deliver the response to the user in real-time
Use cases
- Deploy a fully offline intelligent assistant for customer support
- Build a question-answering system trained on proprietary company data
- Create an interactive dialogue interface for privacy-conscious organizations
Requirements
- Ollama installed with a compatible language model configured
- Proper chat trigger and connection settings established
- Sufficient processing power to run the language model locally
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
LLM Chain
Lm Ollama
Details
Trigger
Automatic trigger
Nodes
14
Apps
3
Views
294
Downloads
192
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 (14)
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When chat message received
Chat Trigger
Basic LLM Chain
LLM Chain
Ollama Model
Lm Ollama
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Structured Response
Set
Error Response
Set
Sticky Note7
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JSON to Object
Set