{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7e0992c92ae642c399d70e72de0e8d42\" 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/7e0992c92ae642c399d70e72de0e8d42-e91978b2d0acab3a.gif","duration":297.545,"title":"Context-Aware Media Agent Overview","description":"In this video, I walk you through the context-aware media agent I built, which utilizes broadcast transcripts and technical manuals to provide answers based on prior context. I explain how we use ChromaDB for data storage and retrieval, employing a sentence transformer for embedding. I also demonstrate the hybrid search functionality that segments data into relevant categories. Please take a look and let me know your thoughts on the implementation!"}