video1.0<iframe src="https://www.loom.com/embed/d76911e2d84440f58a7032df410bd317" frameborder="0" width="1108" height="831" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8311108Loomhttps://www.loom.com8311108https://cdn.loom.com/sessions/thumbnails/d76911e2d84440f58a7032df410bd317-e09585fa71f45f3a.gif146.0596In this video, I provide a quick walkthrough of the Rav Engine X, a modular production pipeline designed for retrieval-augmented generation. I explain how the system works, from uploading a PDF document to generating answers using vector similarity and a cross-encoder. You can view the retrieved context, final answers, and evaluation metrics, which can be exported as JSON or CSV files. I encourage you to try the live demo at radenginex.on.dander.com and explore the GitHub repository for the full code. Thank you for watching!