Automated daily motivation messages to students

• Automate daily motivational messages for students
• Log motivational content in a structured format for analysis
• Send alerts for any errors in the message generation process

Trigger the workflow via a webhook to initiate the process Split the motivational text into manageable chunks for processing Generate embeddings for the text using OpenAI's model Insert the embeddings into a Weaviate vector database for storage Query the database for relevant motivational content Use a RAG agent to process and refine the content Log the final messages in Google Sheets and send alerts via Slack if errors occur

1. 1
   Import the Daily Student Motivation workflow template
2. 2
   Configure the webhook settings for triggering the workflow
3. 3
   Set up OpenAI and Weaviate credentials in n8n
4. 4
   Connect Google Sheets and Slack accounts for logging and alerts
5. 5
   Test the workflow to ensure all connections and functionalities work as expected