Building a Reverse Video Search System With Mixpeek & PostgreSQL

This text discusses the creation of a reverse video search system using Mixpeek for video processing and embedding generation, combined with PostgreSQL as a vector database hosted on Timescale Cloud. The system allows users to query video data using both video and text queries to retrieve relevant video segments based on semantic similarity. The architecture includes video ingestion and retrieval processes, and the implementation details are provided in several sections. The Mixpeek and Timescale tech stacks complement each other, with Mixpeek generating vector embeddings and Timescale's PostgreSQL database ensuring optimized storage, management, and retrieval of the video data and its embeddings.