video1.0<iframe src="https://www.loom.com/embed/7e0992c92ae642c399d70e72de0e8d42" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/7e0992c92ae642c399d70e72de0e8d42-e91978b2d0acab3a.gif297.545In 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!