AI Agents
Extract personal data using self-hosted
13 nodes
199
124
Automatic trigger
Workflow Description
Self-hosted conversational AI agent extracting personal data from user messages. Processes inputs through a local Ollama language model with automatic error correction and structured output parsing, maintaining full data privacy without cloud dependencies.
How it works
- 1.Activate chat trigger and receive user message
- 2.Process text through locally-hosted Ollama language model
- 3.Apply automatic error correction and structured output parsing
- 4.Extract and return personal information in organized format
Use cases
- Extract contact details from customer inquiries in secure, closed environments
- Process registration forms and cleanse personal data locally without external transmission
Requirements
- Local server with Ollama installed and a trained language model configured
- Database or storage solution for securely persisting extracted personal information
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
199
Downloads
124
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