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Retrieval Augmented Generation (RAG) with Data Streaming

How do you prevent hallucinations from large language models (LLMs) in GenAI applications? LLMs need real-time, contextualized, and trustworthy data to generate the most reliable outputs. Kai Waehner, Global Field CTO at Confluent, explains how RAG and a data streaming platform with Apache Kafka and Flink make that possible. RESOURCES ► GenAI hub: www.confluent.io/generative-ai ► Webinar: Building RAG-enabled GenAI applications: https://www.confluent.io/resources/on... ► Get started free on Confluent Cloud: https://www.confluent.io/get-started/ CHAPTERS 0:00 - What is RAG? 2:19 - Why Apache Kafka and Flink 3:40 - RAG with a Data Streaming Platform 8:54 - Use Cases 10:34 - Summary ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #GenAI #LLM #RAG #confluent #apachekafka #kafka #apacheflink #flink #cloud

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