{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/27a3bbf46869495ca7226f8dd702e38a\" frameborder=\"0\" width=\"2560\" height=\"1920\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1920,"width":2560,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1920,"thumbnail_width":2560,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/27a3bbf46869495ca7226f8dd702e38a-3289f206eb87a43f.gif","duration":1550.252,"title":"Introducing the Multi-Agent AI Shopping Assistant","description":"Hi everyone, in this video, I’m excited to showcase the multi-agent product assistant I’ve been developing, which acts as an AI shopping assistant using Amazon Electronics data. I walk you through the architecture, highlighting how user requests are processed through a Streamlit UI and FastAPI, with a robust orchestration layer managed by Langref. We have specialized agents for product QA, shopping cart, and warehouse management, all working together to ensure a seamless shopping experience. I also touch on the reliability and scalability of the system, including our CI-CD processes with GitHub Actions. Please stay tuned for the live demo at the end!"}