Automated Podcast Show Notes Generator

This workflow automates the creation and logging of podcast show notes using AI and vector similarity search. It begins with a webhook trigger that receives podcast content, then uses a text splitter to divide the transcript into manageable chunks. These chunks are embedded using Cohere’s API for semantic analysis and stored in a Supabase vector database. When a new query is received, the workflow searches for relevant previous content, leverages OpenAI’s language models for summary and refinement, and finally logs the generated show notes into Google Sheets. This automation streamlines podcast content management, making it ideal for content creators looking to quickly produce and organize show notes with AI assistance.