Apache Flink 2.2.0 enhances real-time data processing by integrating AI capabilities, introducing new functions like ML_PREDICT for large language models and VECTOR_SEARCH for vector similarity searches. The release also improves materialized tables, batch processing, and connector frameworks, addressing over 220 issues.

Apache Flink CDC 3.5.0 has been released, introducing new pipeline connectors for Apache Fluss and PostgreSQL, alongside enhancements in schema evolution and transform support. The update also addresses various issues in multi-table synchronization and improves the overall usability of the framework. Feedback from the community is encouraged through mailing lists and JIRA.

Apache Flink CDC 3.4.0 has been released, featuring a new pipeline connector for Apache Iceberg and support for batch execution mode. The update also includes optimizations in schema evolution, transform enhancements, and various improvements across MySQL and MongoDB CDC connectors.

Apache Flink has announced the preview release of Apache Flink Agents 0.1.0, a new sub-project designed to integrate event-driven AI agents with Flink's streaming runtime. This framework aims to enhance real-time processing of high-volume event streams, ensuring reliability and scalability while providing first-class abstractions for agent functionalities such as large language models and dynamic orchestration.