Real-Time GenAI with RAG using Apache Kafka and Flink to Prevent Hallucinations

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. This blog post explains how RAG and a data streaming platform with Apache Kafka and Flink make that possible. A lightboard video shows how to build a context-specific real-time RAG architecture. Also, learn how the travel agency Expedia leverages data streaming with Generative AI using conversational chatbots to improve the customer experience and reduce the cost of service agents.

(Originally posted on Kai Waehner’s blog: “Real-Time GenAI with RAG using Apache Kafka and Flink to Prevent Hallucinations”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

What is Retrieval Augmented Generation (RAG) in GenAI?

Generative AI (GenAI) refers to artificial intelligence (AI) systems that can create new content, such as text, images, music, or code, often mimicking human creativity. These systems use advanced machine learning techniques, particularly deep learning models like neural networks, to generate data that resembles the training data they were fed. Popular examples include language…