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.

Kentik Product Marketing Manager Lauren Basile shows how to leverage Kentik's integration with PeeringDB to enhance network performance, reliability, and cost efficiency. Lauren demonstrates practical examples of how network professionals can use PeeringDB filters in Kentik to make informed decisions about internet exchanges and data centers, optimize peering arrangements, and uncover potential cost savings.