.PostgreSQL 16 now provides the `pgvector` extension The `postgresql:16` module stream is now distributed with the `pgvector` extension. With the `pgvector` extension, you can store and query high-dimensional vector embeddings directly within PostgreSQL databases and perform a vector similarity search. Vector embeddings are numerical representations of data that are often used in machine learning and AI applications to capture the semantic meaning of text, images, or other data types.