Stepping into the AI space, you quickly realize that there are many things that AI can do and many more things AI cannot do. There are some real challenges with grasping AI and what is realistic now. People assume there is a world of knowledge behind them when they interface with mainstream AI systems. This is true, but _most_ of this data isn’t tailored to your or your company’s needs.
In this talk, I’ll show you how to build a Retrieval Augmentation Generation (or RAG) based AI system easily, quickly, and securely. I’ll start with what you need to know about AI to grasp this, then build a simple one leveraging OpenAI and the nice portions of it, but understand the risks involved, then pivot to the free open source ecosystem, and then combine the security and simplicity of watsonx at the end.