Building a semantic movie search demo with pgvector and Next.js

A developer implemented a movie search system using vector embeddings and natural language queries. The project utilizes PostgreSQL with pgvector, a small embedding model, and Next.js for the web application, deployed on Vercel with a Supabase database. While performance was mixed, the system demonstrates the potential of semantic search technology for quick, low-cost implementation.