Build a content recommendation app with Flutter and OpenAI

Summary by forck

Supabase published a guide on building a content recommendation app using Flutter, Supabase as a vector database, and OpenAI's embeddings API.

• The app stores movie data and embeddings in Supabase, then performs vector similarity searches to recommend related movies.
• The guide covers creating a database table, using Supabase Edge Functions to fetch movie data from TMDB and generate embeddings via OpenAI, and querying similar movies from a Flutter interface.