Let Flink Cook: Mastering Real-Time RAG with Flink
Large language models are advancing rapidly, but to move from prototype to production they need real-time, domain-specific data, and strong security. Retrieval-augmented generation (RAG) can address this by integrating live data streams using AI models for more accurate and relevant responses. Apache Kafka® and Apache Flink® can be used to implement RAG for various applications, enhancing the performance and reliability of generative AI systems.
Large language models are advancing rapidly, but to move from prototype to production they need real-time, domain-specific data, and strong security. Retrieval-augmented generation (RAG) can address this by integrating live data streams using AI models for more accurate and relevant responses. Apache Kafka® and Apache Flink® can be used to implement RAG for various applications, enhancing the performance and reliability of generative AI systems.