RAG Explained: AI That Turns Knowledge Into Assets

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Most entrepreneurs have valuable knowledge locked away in documents, decision frameworks, policies, playbooks, and even just in their own heads. The problem? That knowledge is hard to access, hard to scale, and often goes unused.

In this video, I’ll explain what Retrieval-Augmented Generation (RAG) is, how it works in plain English, and why it matters for founders and business leaders. You’ll learn how RAG can take your company’s processes, frameworks, and know-how and turn them into digital assets that power AI systems, boost productivity, and free up your time.

Here’s what you’ll discover:
✅ What RAG is and why it’s different from traditional databases
✅ How to capture and structure your knowledge so it becomes usable by AI
✅ How RAG transforms playbooks, SOPs, and frameworks into digital assets
✅ Why RAG provides leverage for entrepreneurs and business leaders, leading to growth
✅ Simple steps to get started with RAG in your own business

If you’ve ever wanted AI that knows your business as well as you do, this is where to start.

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👤 About Me:
I’m Joshua Ebner, a 20-year expert in AI, machine learning, and data science, with experience at companies like Apple, HP, Ogilvy, and Bank of America. I help companies design and execute AI strategies that deliver real business impact.

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