Extract Personal Data Using Self-Hosted Mistral NeMo LLM in n8n
Leverage a self-hosted Large Language Model (LLM) with n8n's LangChain integration to extract personal information from user input while maintaining data privacy.
This workflow demonstrates how to use the Mistral NeMo LLM locally with n8n to process sensitive information securely. It includes setting up the Ollama Chat Model for local execution, parsing unstructured text into a structured JSON format, and handling errors with an auto-fixing parser. This setup is ideal for enterprise environments where data privacy and compliance are critical.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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