Hi @Titus Blair , I see a lot of content around RAG, but when I start getting in real life projects Im confused regarding what should be info retrived with rag, and where the optimal solution might be something else (like puting data straight in system prompt, or checking a doc or a google sheet with data as an agent tool without embeding, or checking table through bot created sql query), there are so many usecases for chatbots that can answer with specific infomation, but rag tutorials tend to be about general examples that i feel dont touch on these questions enough(at least the once Ive seen). Maybe take on a real life, simple example for the webinar? Thanks!