writtenhouse tech

  Understand AI Better than 90% of People in 2 Minutes Part 5: RAG Imagine talking with the smartest person in the world who just woke up from a 3-year coma. They know millions of facts but have no idea about anything that's happened over the past three years. Now imagine asking them: "Who won the 2026 World Cup?" They'd have no idea. That's essentially how Large Language Models work. They're trained on enormous amounts of public information, but they don't know about anything that happened after the data was pulled from the internet for training. This is where Retrieval-Augmented Generation (RAG) comes in. Instead of expecting the model to be retrained over and over again, RAG gives it the ability to look things up before answering. When you ask a question, the system first searches for relevant information from all of the information it has been given access to. It then sends those results along with your question to the language model, allowing the mode...