Why tuning RAG models for precision can backfire on retrieval accuracy
Fine-tuning retrieval models for compositional sensitivity may seem like a way to improve precision, but new research reveals it can quietly slash retrieval accuracy by up to 40%. Here’s why this tradeoff happens and what teams can do instead.