{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f411bf72a73d4edebf3f15f2ecd0371a\" 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/f411bf72a73d4edebf3f15f2ecd0371a-28aded253db5f5bd.gif","duration":185.948,"title":"AI Agent: Weather + PDF Q&amp;A","description":"Hello, I'm Satyam Kumar, and in this video, I introduce my AI engineer, Tux, which was built using an AI pipeline with Lengchun, Lenggraph, and Lengsmith. Tux is designed to handle weather inquiries and utilizes the Open Weather API along with caution inserts from rag with qdend. I demonstrate how it retrieves relevant information, including detailed code and links. I encourage viewers to engage with Tux by asking about the weather. Let's dive in and see how it works!"}