Let Flink Cook: Mastering Real-Time Retrieval-Augmented Generation (RAG) with Flink

What this post added

This post introduces the use of Apache Flink and Kafka in Confluent Cloud to build Retrieval-Augmented Generation (RAG) applications. It details how Flink SQL's new ML functions (`ml_predict()`, `federated_search()`) can be used for data preparation (chunking, vector embedding) and inference. It also discusses advanced RAG patterns like reasoning, workflows, and post-processing for reliability, emphasizing the benefits of an event-driven architecture for AI systems.