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