Smart Home Energy Saver Workflow

The ‘Smart Home Energy Saver’ workflow automates the collection, analysis, and logging of energy-related data from a smart home system. It begins with a webhook trigger receiving information about energy consumption. This data is processed by a text splitter node for segmentation, then embedded into vector form using Cohere’s API for semantic understanding. The embeddings are stored in a Supabase vector database for efficient retrieval.

When a query is received, it is matched via vector similarity search against the stored data, enabling intelligent responses related to energy usage or tips. The system further utilizes a language model from Hugging Face to generate insights or actions based on the query. Results, insights, or logs are saved directly into a Google Sheet for record-keeping, providing users with an up-to-date log of interactions and energy data.

This workflow is ideal for smart home automation scenarios where continuous monitoring, analysis, and adaptive responses are necessary to optimize energy consumption, reduce costs, and improve the user experience.