AI Agents
Trigger intelligent workflow via chat and language processing
14 nodes
226
112
Automatic trigger
Workflow Description
An automation workflow activated by user chat interactions, where input is passed through an advanced language model chain (LLM Chain) for intelligent processing and analysis, then executed via the Ollama local engine to deliver final results. Includes variable tracking for transparency.
How it works
- 1.Activate workflow when user sends a chat message
- 2.Route input through natural language processing chain
- 3.Process query using local Ollama model engine
- 4.Log intermediate variables and results for audit trail
Use cases
- Build an intelligent assistant that answers employee questions based on company-specific context and policies
- Automatically classify and route customer inquiries without relying on external cloud services
Requirements
- Ollama engine installed and running on local server infrastructure
- Basic understanding of language chain construction and workflow variable management
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
226
Downloads
112
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
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JSON to Object
Set