LLM kiest juiste pagina in RAG-systemen: het Arbiter-patroon uitgelegd

A new approach to retrieval-augmented generation uses a language model to evaluate and select the most relevant document from multiple candidates, producing a ranked result that can be audited and justified. This "arbiter pattern" improves document intelligence systems by ensuring the final choice is transparent and defensible for enterprise applications.