Extract Personal Data with Self-Hosted LLM Mistral NeMo
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Extracts personal data from chat messages using a self-hosted Mistral NeMo LLM and structured output parsing.
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About This Workflow
Overview
This workflow leverages a self-hosted Ollama instance running the Mistral NeMo model to extract structured personal data from incoming chat messages. It includes error handling and an auto-fixing mechanism for LLM responses.
Key Features
- Utilizes a self-hosted LLM (Mistral NeMo via Ollama)
- Implements structured output parsing with a JSON schema
- Includes an auto-fixing mechanism for LLM response errors
- Basic error handling with a dedicated node
- Provides configuration notes via sticky notes
How To Use
- Install Ollama: Ensure Ollama is installed and running on your server.
- Pull Mistral NeMo Model: Run
ollama pull mistral-nemoin your terminal. - Configure n8n Credentials: Set up the Ollama API credentials in n8n.
- Import Workflow: Import this JSON into your n8n instance.
- Configure Webhook: Set up a webhook for the 'When chat message received' node to trigger the workflow.
- Update Prompt Source: If you change the data source for the LLM, update the
Prompt Source (User Message)setting in the Basic LLM Chain node.
Apps Used
Workflow JSON
{
"id": "ed99916c-c7ba-482e-9a4c-19fa9af057ae",
"name": "Extract Personal Data with Self-Hosted LLM Mistral NeMo",
"nodes": 0,
"category": "AI / LLM Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: ed99916c-c7ba...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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