Researchers introduce ReCollab, a breakthrough framework using retrieval-augmented language models to predict teammate behavior in cooperative AI systems. The approach outperforms conventional methods in ad-hoc teamwork scenarios, achieving superior adaptation and coordination without prior coordination.