Automated SendGrid Bounce Alert Processing Workflow

This n8n workflow is designed to automatically process and analyze email bounce alerts from SendGrid. When a bounce notification is received via a webhook, the workflow initiates a series of steps to extract, analyze, and store the relevant data, as well as notify your team if necessary.

The process begins with a webhook trigger set up to listen for incoming SendGrid bounce alerts. The alert message is then split into manageable chunks and each chunk is processed using AI-based embedding models. These embeddings are stored in a Weaviate vector database for efficient retrieval.

Subsequently, the workflow performs a query against the vector database to find similar bounce alerts or related information, which is then used to generate a contextually relevant response through a language model. A Retrieval-Augmented Generation (RAG) agent manages the interaction, providing detailed insights or handling the data accordingly.

The resulting information is logged into a Google Sheet for record-keeping. If an error occurs during the process, a Slack notification is sent to alert the team instantly.

This workflow is ideal for email marketing teams or support departments that need real-time tracking, analysis, and logging of email bounce events from SendGrid, ensuring prompt action and informed decision-making.