Automated Calendar Event Tagging with AI and Vector Stores

Overview

This n8n workflow is designed to automate the tagging of calendar events. It utilizes a Retrieval-Augmented Generation (RAG) approach by integrating AI models and vector stores. The process begins with a Webhook Trigger receiving calendar event data. This data is then split into manageable chunks using the Text Splitter node. Next, the Embeddings node generates vector representations of the text, which are then inserted into a Weaviate vector database using the Weaviate Insert node. For processing, a Weaviate Query retrieves relevant information, which is then processed by a Vector Tool. This tool, along with Window Memory and a Chat Model, feeds into the RAG Agent. The RAG Agent, acting as the core intelligence, processes the event data and generates appropriate tags. Finally, the results are logged to a Google Sheet via the Append Sheet node, and any errors are reported via Slack Alert. This workflow solves the problem of manual event tagging by providing an intelligent, automated solution.