The year 2024 was marked by significant advancements in Postgres for AI, with the launch of performance-boosting extensions like pgvectorscale and pgai. TimescaleDB's time-series capabilities also evolved dramatically, enabling faster real-time analytics. Key features introduced or improved include chunk skipping, which allows queries to exclude certain chunks, reducing data access; continuous aggregates (CAggs), which automatically materialize queries in the background for faster results; hypercore, a hybrid row-columnar storage engine with enhancements like segment_by and order_by settings; and support for foreign keys on hypertables. These features aim to optimize query performance, reduce storage footprint, and make real-time analytics more efficient.