Automated Shift Handover Summarization and Logging

This workflow automates the process of capturing, summarizing, and logging shift handovers to improve communication and record-keeping within organizations. It starts with a webhook trigger that receives shift notes or reports, which are then split into manageable text chunks. These chunks are processed to generate embeddings using Hugging Face models, facilitating semantic search and similarity comparison.

The workflow stores these embeddings in a vector database hosted on Supabase, enabling efficient retrieval of relevant information during queries. A query node allows searching the stored data to find related past handovers or important information. An AI-powered language model then helps generate a comprehensive, concise summary of the shift report based on the gathered data.

Finally, the summary is logged into a Google Sheet for record purposes. The entire process supports better shift management, quick access to previous reports, and streamlined communication across teams. This workflow is ideal for industries with shift-based work like healthcare, manufacturing, or security services, where quick and accurate shift handovers are critical.