{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d4a7810a2a5142f7b46beaa7f382d0a9\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d4a7810a2a5142f7b46beaa7f382d0a9-0fcfeaf04ef1524f.gif","duration":636.005,"title":"Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation","description":"In this video, I introduce Social RAG, a new workflow that improves AI interactions in group settings. I discuss how AI agents can provide relevant recommendations by understanding group context, which is crucial for effective communication. I also share insights from our deployment of PaperPing, a Slack bot that tailors paper recommendations based on group interactions, and the positive feedback we've received from over 500 researchers."}