Extract Personal Data with Mistral NeMo

Name: Extract Personal Data with Mistral NeMo
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Author: Free N8N

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Data Extractionautomationdata extractionjsonllmmistralnemoollamapersonal data

Extracts personal data from chat messages using a self-hosted Mistral NeMo LLM and a structured JSON output.

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About This Workflow

Overview

This workflow automates the extraction of personal information from incoming chat messages. It leverages a self-hosted Mistral NeMo Large Language Model (LLM) to process the messages and outputs the extracted data in a structured JSON format based on a predefined schema.

Key Features

Integrates with self-hosted LLMs (Mistral NeMo via Ollama).
Utilizes structured output parsing for precise data extraction.
Includes an auto-fixing mechanism for LLM response correction.
Handles errors gracefully.
Provides detailed usage instructions and configuration guidance.

How To Use

Import the workflow JSON into your n8n instance.
Ensure Ollama is installed and running with the mistral-nemo:latest model.
Configure the Ollama credentials in n8n.
Update the Prompt Source (User Message) in the 'Basic LLM Chain' node if needed.
Trigger the workflow with incoming chat messages or test it manually.

Apps Used

automation

data extraction

json

llm

mistral

nemo

ollama

personal data

Workflow JSON

{
  "id": "24292119-544c-4075-9823-42ad5dee977f",
  "name": "Extract Personal Data with Mistral NeMo",
  "nodes": 0,
  "category": "Data Extraction",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.