Automated Transaction Log Backup to Supabase and Google Sheets
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This n8n workflow automates the backup of transaction logs by sending data to Supabase for vector storage and also appending a status to a Google Sheet. It uses a Webhook Trigger, Text Splitter, Embeddings, and a RAG Agent to process and store logs.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of backing up and analyzing transaction logs. It starts with a Webhook Trigger to receive log data. This data is then processed by a Text Splitter and converted into embeddings using the Embeddings node (Cohere). The embeddings are then inserted into a Supabase vector store for efficient querying and analysis via the Supabase Insert node. A Supabase Query node and Vector Tool enable searching and retrieving relevant log information. The RAG Agent orchestrates the process, leveraging a Chat Model and Window Memory. Finally, the workflow updates a Google Sheet with a status via the Append Sheet node and includes error handling with a Slack Alert.
This workflow is particularly useful for financial and accounting departments that need a robust and automated system for log management, enabling quick retrieval of historical data and maintaining an auditable trail.
Key Features
- Automated data ingestion via Webhook Trigger.
- Text splitting and embedding for advanced data processing.
- Vector storage and retrieval with Supabase for efficient data analysis.
- Integration with Google Sheets for status tracking.
- AI-powered agent for handling and processing log data.
- Robust error alerting via Slack.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggerwith the desired path (transaction-logs-backup) to receive incoming transaction log data. - Set up Text Splitter: Configure the
Text Splitternode with appropriatechunkSizeandchunkOverlapvalues for processing your log data. - Configure Embeddings: Connect your Cohere API credentials to the
Embeddingsnode and select the appropriate model (e.g.,embed-english-v3.0). - Set up Supabase: Configure both the
Supabase InsertandSupabase Querynodes with your Supabase API credentials and specify theindexName(e.g.,transaction_logs_backup). - Integrate Vector Tool: Connect the
Supabase Querynode to theVector Toolnode. - Configure Memory and Chat Model: Set up
Window Memoryand connect your OpenAI API credentials to theChat Modelnode. - Define RAG Agent: Configure the
RAG Agentnode, setting the system message and ensuring it receives input from theVector Tool,Window Memory, andChat Model. - Configure Google Sheets: Set up your Google Sheets OAuth2 API credentials and configure the
Append Sheetnode with the correctSHEET_IDandLogsheet name, mapping the 'Status' column. - Set up Slack Alert: Connect your Slack API credentials to the
Slack Alertnode for error notifications.
Apps Used
Workflow JSON
{
"id": "81a7de03-0207-4867-af95-2ac2ffc7ff36",
"name": "Automated Transaction Log Backup to Supabase and Google Sheets",
"nodes": 0,
"category": "Finance & Accounting",
"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: 81a7de03-0207...
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