Major Hayden
Major works on all kinds of technology at Red Hat, including artificial intelligence, Linux on public clouds, and automated kernel testing. He's served in various leadership roles in the Fedora project and he maintains several Fedora packages. Before Red Hat, he worked in the OpenStack community as part of his role at Rackspace.
Away from work, Major enjoys getting on the air via amateur radio (W5WUT), running, and learning more about financial markets. He also maintains a technical blog at major.io.
Senior Principal Software Engineer
Company or affiliation –Red Hat
Session
Take all of the documentation and throw it into the database and we're done, right? Not so fast.
Large language models (LLMs) don't know everything and retrieval-augmented generation, or RAG, fills in the knowledge gaps with just-in-time retrieval of data from a database. Technical limitations and challenges loom large here, but there are plenty of difficulties brought over from the world of humans into the world of LLMs.
Come on a RAG journey with me as I recount some of the roadblocks my team faced as we built a product with RAG as a core component. Learn about the available technologies, how to build out a RAG stack, and how to avoid bringing human complexity into an already complex technical system.