Learn how to create a movie recommendation web app, using PostgreSQL® and pgvector.

We'll work together to build a movie recommendation system from start to finish, utilizing NodeJS, TensorFlow, and PostgreSQL’s extension pgvector. We'll guide you through the process of creating the vector embeddings using TensorFlow right on your laptop. Additionally, we'll leverage pg-promise to efficiently handle bulk row inserts, and we'll explore the usage of Next.js for a full-stack project. By the end of the workshop, you'll have a fully functional project that generates movie recommendations.

Prerequisites:

• A web browser
• A GitHub account. Here’s the GitHub repository we’ll be using: https://github.com/Aiven-Labs/pgvector-tensorflow-movie-recommendations-workshop

During the workshop

• You’ll create an Aiven account using the free trial. Sign up: https://go.aiven.io/signup-movie-workshop
• You’ll create a GitPod account

Resources

• TensorFlow, PostgreSQL®, PGVector & Next.js: building a movie recommender: https://aiven.io/developer/building-a-movie-recommender