What is RAG (Retrieval Augmented Generation)?

RAG is the technique Fren uses to ensure reliable answers. Instead of generating answers solely from the model's trained "knowledge", Fren first searches for relevant information in its official databases and then generates the answer based on those documents. This avoids hallucinations and makes it possible to cite exact sources. In addition, Fren uses subagents, so if it does not find an answer to the user's question, it can adjust its search strategy.