Scan personal data in data tables with Groq and Discord alerts

by Melbin Francis ✓ · 1 views · created 2026-09-05 · Document Extraction, AI Summarization

What this workflow does

This AI workflow has 25 nodes and runs manually, when you click “Execute workflow” (plus 2 other triggers). Along the way it connects Groq Chat Model and Discord.

How it runs

Trigger: Manually, when you click “Execute workflow” (plus 2 other triggers).

1. Create Patterns Table (Data table): create (table)
2. Set Scan Policy (Edit Fields (Set)): sets 3 fields: sample_rows, exclude_name_patterns, min_confidence
3. Create Inventory Table (Data table): create (table)
4. Load Detection Patterns (Data table): get
5. Create Runs Table (Data table): create (table)
6. List Every Data Table (Data table): list (table)
7. Build Detection Patterns (Code): runs custom JavaScript code
8. Skip Own Tables (Code): runs custom JavaScript code
9. Load Patterns Into Table (Data table): create or update
10. Loop Over Tables (Loop Over Items (Split in Batches)): loops over the items in batches

…plus 10 more steps. See the full node list below.

Services it uses

Groq Chat ModelDiscord

Before you upgrade to n8n 3.0

Nodes used (11)

• Manual Triggern8n-nodes-base.manualTrigger
• Data tablen8n-nodes-base.dataTable
• Coden8n-nodes-base.code
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Ifn8n-nodes-base.if
• Discordn8n-nodes-base.discord

From the author

Quick overview This workflow inventories personal data across n8n Data Tables by sampling rows, classifying columns with regex patterns, and using Groq to judge ambiguous columns from names and masked value shapes, then stores results in Data Tables and…

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