Automated GDPR Violation Alert System with Langchain and Supabase
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This n8n workflow sets up an automated system to detect and alert about potential GDPR violations. It uses a Webhook to receive data, Langchain nodes for processing and querying vector stores, and a Google Sheet for logging alerts.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of identifying and alerting about potential GDPR (General Data Protection Regulation) violations. It leverages the power of n8n for workflow automation, Langchain for natural language processing and vector database interaction, and Supabase as a vector store. The workflow begins by receiving data through a Webhook. This data is then processed by Langchain's Text Splitter and Embeddings nodes. The embeddings are stored and retrieved from a Supabase vector database using the Vector Store (Supabase) node. An Agent then uses these embeddings and conversation memory to interpret incoming requests and determine if they constitute a GDPR violation. Finally, any identified violations are logged to a Google Sheet. This workflow is particularly useful for organizations that need to proactively monitor data handling practices and ensure compliance with data protection regulations.
Key Features
- Real-time Data Ingestion: Utilizes a Webhook to receive data for immediate processing.
- Advanced Text Processing: Employs Langchain's Text Splitter and Embeddings for sophisticated natural language understanding.
- Vector Database Integration: Seamlessly integrates with Supabase as a vector store for efficient data retrieval and similarity search.
- Intelligent Alerting: Uses a Langchain Agent with conversation memory to identify potential GDPR violations based on context.
- Automated Logging: Logs detected violations to a Google Sheet for easy review and auditing.
How To Use
- Configure the Webhook: Set up the
Webhooknode with your desired path to receive incoming data that needs to be analyzed for GDPR compliance. - Set up Langchain Nodes: Configure the
Splitter,Embeddings,Insert,Query,Tool,Memory, andChatnodes with your Langchain and OpenAI/HuggingFace API credentials. Ensure theInsertandQuerynodes are pointing to your Supabase vector store. - Define Agent Logic: Configure the
Agentnode to use the appropriate tools and memory to identify GDPR violations based on the processed data. - Configure Google Sheets Output: Set up the
Sheetnode with your Google Sheets API credentials and specify theSHEET_IDandLogsheet name where violation alerts should be appended. - Activate and Monitor: Activate the n8n workflow and monitor the Google Sheet for any logged GDPR violation alerts.
Apps Used
Workflow JSON
{
"id": "8b0f0a38-d91e-4b8c-a99e-ff49719b3120",
"name": "Automated GDPR Violation Alert System with Langchain and Supabase",
"nodes": 0,
"category": "Legal & Compliance 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: 8b0f0a38-d91e...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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