RAG has grown into a design discipline. It’s no longer about adding external knowledge to a model. It’s about choosing the right retrieval architecture for your domain.

AI models are powerful, but as is they are often useless in a business context. They don't know your specific compliance rules, your internal knowledge base, or your customer's context.

Imagine a warehouse fire destroys half your inventory. You ask your enterprise AI: "Which orders do I prioritize?" Current AI will likely pull up your safety protocols or summarize the fire report. It cannot tell you which client has the strictest penalty clauses, which inventory is currently in transit, or where you have available truck capacity to reroute shipments.

In many ways, building an early-stage startup feels like going through an existential crisis. “Why do we exist? Why us? Why now? Who are we? What are the things that we are after that truly matter?” Embracing doubts and uncertainties, testing things are parts of the process to emerge with educated faith, not blind belief.

As a repeat entrepreneur, I understand the importance of selecting the right idea space for a startup. Much of my previous company’s success came from being perfectly positioned, in the right place at the right time.