{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a93ac8491a134422a21e14624059f9da\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a93ac8491a134422a21e14624059f9da-1704546583327.gif","duration":245.46666666666667,"title":"Optimize a RAG Application for Answering Questions on Nike's 10k Filings","description":"Hey, it's Joel, one of the co-founders of Pre AI. In this video, I'll show you how to optimize a rack application that answers questions on Nike's 10k filings. You can follow along at darksappr.ai. We'll go through a tutorial and then analyze why the application gave the wrong answer. We'll use trace logs and evaluation metrics to identify and fix the issue. No action is required from you, but feel free to ask questions or provide feedback."}