Your company has hundreds of pages of technical documentation. Your engineers need answers fast. Traditional search returns keywords, not answers. RAG (Retrieval-Augmented Generation) changes that—turning static documents into an intelligent assistant that actually understands questions.
Here's how it works and how to build one.
After 22 years in oil & gas drilling operations, I made the leap to AI engineering. Many people ask me why I didn't make the switch earlier—or why I bothered with AI at all when I had a successful engineering career. The answer is simple: I realized that my industrial experience wasn't something to leave behind. It was my competitive advantage.
Your company has the documentation. The procedures exist. The technical standards are written. So why does your team still spend days searching for information that should take minutes to find?
After 22 years in drilling operations, I lived this problem. And now I help companies solve it.