Automated Calendar Event Tagging with AI

This workflow automates the process of analyzing calendar event descriptions and assigning relevant tags using AI-powered text embedding and language models. It streamlines event organization and improves categorization for calendar management or content tagging systems.

The workflow begins when a calendar event triggers a webhook, which initiates the data processing. The event details are split into smaller chunks through a Text Splitter node. These chunks are then transformed into vector embeddings using OpenAI’s embedding model, facilitating semantic analysis. The embeddings are stored in a Weaviate vector database for efficient retrieval.

Next, when a new event is processed, relevant similar vectors are retrieved from Weaviate, providing context. This context is fed into a chat-based language model with a RAG (Retrieval-Augmented Generation) approach, which generates understanding or tags for the event. The system logs the process and results into a Google Sheet for record-keeping.

If errors occur during the process, an alert is sent via Slack, ensuring monitoring and prompt troubleshooting.

This workflow is particularly useful for automated event tagging, content categorization, and enhancing organizational workflows by leveraging AI for semantic understanding and automation.