AI Agents
Extract personal data using self-hosted
13 nodes
264
120
Automatic trigger
Workflow Description
An automation template that extracts personal data from text using a self-hosted language model (Ollama), with automatic error correction and structured output formatting. Process runs locally for privacy and security.
How it works
- 1.Receive text input through an interactive chat interface
- 2.Process text using Ollama local language model to extract personal information
- 3.Automatically correct and format outputs into structured data
- 4.Return processed results to user
Use cases
- Extract contact details and identity information from unstructured text sources
- Automate form processing and applications to capture essential information systematically
Requirements
- Ollama installed with a deployed language model
- n8n workflow connected to chat trigger interface
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
264
Downloads
120
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