Building semantic video search with Mux & Supabase
Blog post from Mux
The text discusses the development of a semantic video search tool designed to enhance the retrieval of specific video moments using a combination of Mux and Supabase. The project aims to address the challenge of recalling memorable video moments by allowing users to input queries and receive precise video clips as results, directly linked to their search terms. This initiative utilizes a tech stack comprising Mux for video infrastructure, which provides storage, auto-generated captions, and player functionality, alongside Supabase for application infrastructure and Next.js for the frontend. Videos are broken into manageable chunks, each embedded with OpenAI's model, to facilitate efficient retrieval through a Retrieval-Augmented-Generation approach. The project is particularly timely for the Demuxed conference, offering a rich archive of video content to test the tool. The text also explores potential improvements, such as enhancing query rewriting, increasing processing speed, and incorporating visual data into the search process, and invites feedback and collaboration from those who have developed similar tools.