Automated Patch Note Summarization and Storage Workflow

This n8n workflow is designed to automate the process of summarizing patch notes, storing embeddings, and logging summaries into Google Sheets for easy reference and analysis. The process begins with receiving patch notes via a webhook, then intelligently splitting the content into manageable chunks using a text splitter node. These chunks are converted into embeddings with the Cohere API, enabling efficient semantic searches later on. The workflow then stores the embeddings in a Weaviate vector database for fast retrieval. When a new patch note is submitted, the system can query the vector store to find related notes, assist with summarization through a language model, and generate a meaningful summary or definition. Finally, it logs the summarized data into a Google Sheet for tracking and record-keeping. This automation is useful for software teams managing extensive release notes, tracking changes, and enhancing knowledge management through AI-driven summarization and organization.