Automated Esports Match Notification System

This n8n workflow automates the process of capturing, analyzing, and logging esports match alerts in real-time. Starting with a webhook trigger, it collects match-related data, splits the content into manageable chunks, and generates embeddings using Hugging Face models. These embeddings are then stored in a Weaviate vector database, enabling efficient similarity searches.

When a new match alert is received, the workflow queries the database for related data, then leverages Langchain’s tools — including OpenAI’s language model and an agent — to analyze and generate insightful summaries or alerts about ongoing esports matches.

The final step logs this processed information into a Google Sheet for record-keeping and further analysis. This workflow is ideal for organizations monitoring esports events, providing real-time alerts, summaries, and data logging for competitive analysis or audience engagement.