Dive into how Retrieval-Augmented Generation (RAG) is changing the game for generative AI, reducing errors, and boosting accuracy. This article breaks down how RAG works, why it matters, and how organizations can use it to improve real-world applications like chatbots, search engines, and knowledge management. Discover practical tips to make your AI more reliable and effective.
Read the full article featured on VKTR to learn more: Is My AI Lying to Me? Ensure Accuracy with Retrieval-Augmented Generation