What is RAG (Retrieval-Augmented Generation)?
A technique that lets an LLM search for relevant data before answering, rather than relying solely on training knowledge. Like letting AI bring its notebook to an exam. In practice, we use RAG to let our Agent query trading strategy docs, ensuring answers are based on current data.