Automated Product Launch Email Workflow

This n8n workflow automates the creation and logging of product launch emails, integrating various AI services and data management tools. It starts with a webhook trigger that receives email content, which is then processed and split into manageable chunks. Each chunk is embedded using Cohere’s embeddings to generate vector representations, then stored in a Supabase vector database for efficient search and retrieval. The workflow further employs a language model (OpenAI) and a Retrieval-Augmented Generation (RAG) agent to generate tailored email content or responses based on the stored data. Results are logged into a Google Sheet for record-keeping, and any errors encountered during the process trigger Slack alerts for easy monitoring. This setup is ideal for automating complex email content generation, management, and analysis during a product launch, ensuring timely and personalized communication with minimal manual effort.