Vecs is a Python library for managing embeddings in Postgres databases using the pgvector extension, providing an interface that lets users work with their data like a dedicated vector store. It was designed with ease-of-use and exploratory data analysis in mind, but works equally well as a search workhorse. The library makes it easy to create a collection of vectors, insert records, query vectors by distance measures, filter based on user-defined metadata, and index collections for efficient querying.