RAG Explained Simply — klymb | made with ngram

About the video

This video was created by ngram to explain retrieval-augmented generation, or RAG, using a simple visual example. The video opens with the problem of confident but incorrect AI answers, then introduces knowledge cutoffs and hallucinations through cartoon robot scenes. A closed-book and open-book comparison leads into the three stages of retrieving a relevant document passage, adding that passage to a question and generating an answer. The worked example uses a customer return policy to make the process concrete. ngram combines the recurring robot character with document icons, arrows, numbered cards and blue, red and green accents on a light background. The final klymb screen frames the video as a simple technology breakdown.