RAGs to Riches: How Content Affects Retrieval Augmented Generation
Wednesday, October 30, 6:00 pm–7:00 pm
Join us for a virtual webinar about how our content affects retrieval augmented generation (RAG).
About the Topic
LLMs have a knowledge problem: their training data is often out of date, and the info we want to leverage often isn’t included in the training data in the first place. Retrieval Augmented Generation (RAG) is an approach to dynamically give LLMs the information we need them to have right when we need them to have it. Want an LLM to know about your products, procedures, or users? RAG is the solution.
But how do docs affect RAG? Doc content, its formatting, and how it’s processed all impact whether the LLM responds with knowledge and (reasonable) confidence or whether the response is full of hallucinations. Come learn about RAG, how technical communicators can make use of it, how our docs affect RAG performance, and what we can do to make sure our users (and our LLMs) get the content they need when they need it.
Meet our Speaker
Technical writer by day and engineer by night, Manny Silva is Head of Documentation at Skyflow, the creator of Docs as Tests, and the creator of Doc Detective. He’s passionate about intuitive and scalable developer experiences and likes diving into the deep end as the 0th developer.