video1.0<iframe src="https://www.loom.com/embed/966b1dd52bf348eaaa02f08ceb9bd526" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/966b1dd52bf348eaaa02f08ceb9bd526-dd61e969f67a80ab.gif6037.0879In this video, I dive into the concept of Retrieval Augmented Generation (RAG) and its applications, particularly in the context of AI and data processing. I discuss how we can utilize various models and databases to enhance our search capabilities and improve the relevance of results. I also touch on the importance of understanding the underlying algorithms, like Google's re-ranking algorithm, and how they impact our work. Please take a moment to review the slides linked in the chat for additional context.