A simple explanation of how AI models can 'look up' information they weren't trained on, like an open-book test.
Instead of forcing the AI to memorize everything, we let it look things up before it answers.
1. **You ask a question**: "What is our company's vacation policy?quot;
2. **The System Searches**: The computer quickly searches through your company's documents (the "textbook") to find pages that mention "vacation."
3. **The System Feeds the AI**: It takes your question AND the pages it found, and gives them to the AI.
- _System to AI_: "The user asked about vacation. Here is a document that says 'Employees get 3 weeks off'. Please answer the user."
4. **The AI Answers**: "Based on the documents, you get 3 weeks off."