{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3de27e88e01f4e97bfd13e4f0031f416\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3de27e88e01f4e97bfd13e4f0031f416-8cd0714927f44fa5.gif","duration":253.499,"title":"AI-Powered Lineage Graph Accelerator | Gradio + MCP Hackathon 2025🚀","description":"Hi, I'm Arnab Lambra, and in this video, I introduced my AI-powered Lineage Rack App Accelerator, which extracts lineage from various sources like JSON, HTML, DBT Manifest, and more. You can visualize this lineage in interactive diagrams and export it to enterprise data catalogs such as OpenLineage and Colibra. I demonstrated how to use Google Gemini to generate lineage graphs and showed how to convert this data into different formats. I encourage you to explore the demo gallery for various lineage examples and to connect with MCP servers for metadata extraction. Please like and follow for more updates!"}