Aiven has announced the availability of the pgvector extension in Aiven for PostgreSQL, allowing users to store vectorized data and perform similarity searches with SQL. This feature enables organizations to bridge the gap between Machine Learning and transactional data, unlocking new capabilities on top of customer data. The use cases range from recommendation systems to anomaly detection, Natural Language Processing pipelines, object detection, and facial recognition. By using pgvector, users can add vector search functionality to their PostgreSQL database without needing additional databases or moving data elsewhere.