Apache Flink 2.2.0: Advancing Real-Time Data + AI and Empowering Stream Processing for the AI Era

The Apache Flink PMC is proud to announce the release of Apache Flink 2.2.0. Flink 2.2.0 further enriches AI capabilities, enhances materialized tables and the Connector framework, and improves batch processing and PyFlink support. This release brings together 73 global contributors, implements 9 FLIPs (Flink Improvement Proposals), and resolves over 220 issues. Apache Flink 2.2 ushers in the AI era by seamlessly integrating real-time data processing with artificial intelligence. It introduces ML_PREDICT for large language model inference and VECTOR_SEARCH for real-time vector similarity search, empowering streaming AI applications.