<?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/c12d498a62d941d990b3274b41d1d999&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c12d498a62d941d990b3274b41d1d999-68937ecca5cc084c.gif</thumbnail_url><duration>316.4349</duration><title>Showcasing the Power of Lama Agents for Document Classification and Retrieval 🚀</title><description>Hi everyone, in this demo, I showcased the capabilities of Lama Agents for automating the classification of study notes and papers into predefined categories. I created categories for &quot;byte coding&quot; and &quot;RAG&quot; and demonstrated how to upload files for classification, which includes extracting summaries and generating Q&amp;A for easy retrieval. I also illustrated how to search for specific information within the uploaded content. If you&apos;re interested in setting up your own instance of this application, I encourage you to check out the GitHub repository for a detailed guide. I hope you find this demo helpful!</description></oembed>