Among the most challenging aspects of relational databases is the ability to work with vector data at scale. Luckily, the PostgreSQL database server supports a `pgvector` extension that allows you to efficiently store and query data over Machine Learning (ML) generated embeddings. ML Embeddings contain arrays of floating point numbers that represent objects such as images, text, video, and audio. These numerical representations express objects in a high-dimensional vector space making search sim......