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 2.1.0 introduces significant upgrades that unify real-time data processing and AI capabilities, featuring 116 contributors, 16 Flink Improvement Proposals, and over 220 resolved issues. Key enhancements include AI Model DDL for flexible AI model management, Process Table Functions for improved event-driven applications, and optimized streaming joins that enhance performance and resource efficiency. These advancements empower enterprises to transition from real-time analytics to intelligent decision-making in modern data applications.