# Supabase — Build a content recommendation app with Flutter and OpenAI

- Company: Supabase (supabase.com)
- Announced: 2024-02-26
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://supabase.com/blog/content-recommendation-with-flutter
- Record: https://forck.live/items/21445-build-a-content-recommendation-app-with-flutter-and-openai
- Subject: Supabase

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.

## Evidence

Verbatim from https://supabase.com/blog/content-recommendation-with-flutter:

> In this article, we will go over how you can create a Flutter movie-viewing app that recommends another movie based on what the user is viewing.

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Record: https://forck.live/items/21445-build-a-content-recommendation-app-with-flutter-and-openai
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