AI Agents
Extract personal data using self-hosted
13 nodes
207
149
Automatic trigger
Workflow Description
Automation template that extracts personal data from text using a self-hosted language model via Ollama, with structured output processing and automatic error correction for reliable data extraction.
How it works
- 1.Receive text input through chat trigger interface
- 2.Process text using locally deployed Ollama language model
- 3.Analyze outputs and apply automatic error correction
- 4.Structure extracted data into organized format
- 5.Deliver processed results to output
Use cases
- Extract applicant information from emails and application forms
- Process customer documents to retrieve contact details and identity information
Requirements
- Running Ollama server connected to your network
- Installed language model on Ollama capable of data extraction tasks
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
207
Downloads
149
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