Retrieval Augmented Generation (RAG) with Data Streaming

Retrieval Augmented Generation (RAG) with Data Streaming

May 28, 2024

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
► Webinar: Building RAG-enabled GenAI applications: https://www.confluent.io/resources/online-talk/retrieval-augmented-generation-RAG-Generative-AI/
► 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.

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