AI Agents
Extract personal data using self-hosted language models
13 nodes
350
138
Automatic trigger
Workflow Description
Automation that receives text messages through a chat interface, processes them using a locally hosted language model (Ollama), parses and validates the output, then structures the extracted data for storage or downstream actions.
How it works
- 1.Receive user input via chat trigger
- 2.Send text to local Ollama model for processing
- 3.Parse model response and auto-correct extraction errors
- 4.Structure extracted data into organized format
- 5.Deliver results for storage or further processing
Use cases
- Extract personal information from customer forms or verbal inquiries
- Automate data ingestion from unstructured text input
Requirements
- Ollama server installed and running on local network or machine
- Stable network connection between n8n and self-hosted model server
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
Output Parser
LLM Chain
Details
Trigger
Automatic trigger
Nodes
13
Apps
4
Views
350
Downloads
138
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 (13)
/
When chat message received
Chat Trigger
Ollama Chat Model
Lm Chat Ollama
Auto-fixing Output Parser
Output Parser Autofixing
Structured Output Parser
Output Parser Structured
Basic LLM Chain
LLM Chain
On Error
No Op
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Extract JSON Output
Set
Sticky Note3
Sticky Note
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note