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

The blog discusses how Apache Kafka® and Apache Flink® in Confluent Cloud can be used to build a retrieval-augmented generation (RAG)-enabled Q&A chatbot that uses real-time airline data. RAG is a promising solution for enhancing the performance and reliability of generative AI systems by integrating live data streams with AI models to ensure accuracy and relevance in generated outputs. The use case demonstrates how Confluent Cloud for Apache Flink's AI features can help developers build RAG-based AI systems, such as chatbots, using familiar SQL syntax to work directly with large language models (LLMs) and other AI models. The blog also highlights the importance of real-time data streaming platforms like Confluent in enabling enterprise applications to take advantage of event-driven architecture and technologies like Kafka and Flink for orchestrating RAG workflows.

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