<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/95fe13e8dfc744e4899d0f56ec791413&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/95fe13e8dfc744e4899d0f56ec791413-70e3adc67748411e.gif</thumbnail_url><duration>355.006</duration><title>Swisscom AI Assistant Overview 🤖</title><description>Hello everyone, this is Ricardo from Team Name at the AI Akaton. We are excited to share our results from the Swisscom project. In this video, I walk you through our workflow for the ARAJ implementation, showcasing how we process documents, use text embedding, and improve language recognition. We also demonstrate our Swisscom AI assistant, built with Vue.js and Flask, which is now publicly available for testing. Watch to see how our AI assistant handles user queries and provides relevant information.</description></oembed>