Scheduled data processing from Slack to Vector DB

• Automate data collection from Slack conversations
• Enhance communication insights through translation and summarization
• Streamline data storage in a Vector Database for easy access
• Improve team productivity by reducing manual data handling

Triggers the workflow every 18 hours using a schedule Collects data from Slack messages Processes the data using OpenAI for translation and summarization Stores the processed data in a Vector Database for further analysis

1. 1
   Import the workflow template into your n8n instance
2. 2
   Configure the Slack node with your workspace credentials
3. 3
   Set up the Vector Database connection
4. 4
   Adjust the OpenAI parameters as needed
5. 5
   Activate the workflow to start processing