Automated content generation and embedding storage in a vector database

• Automate text embedding generation for machine learning applications
• Streamline the process of storing and retrieving text data
• Enhance AI-driven content management systems with up-to-date embeddings
• Facilitate real-time data analysis and retrieval in vector databases

Cron job triggers the workflow every 18 minutes Parameters are set for the embedding generation process A message is sent via Telegram to initiate the embedding request OpenAI generates embeddings based on the specified prompt Embeddings are upserted into a vector database for storage

1. 1
   Import the workflow template into n8n
2. 2
   Configure the Telegram node with your credentials
3. 3
   Set up the OpenAI node with your API key
4. 4
   Adjust the cron expression if needed for different scheduling
5. 5
   Activate the workflow to start the automation