In the context of decentralized science (DeSci) movement and transition to open research infrastructure, Retrieval-Augmented Generation (RAG) empowers researchers to transcend traditional laboratory boundaries by facilitating search for relevant partners and research infrastructure. It enhances decision-making by analyzing researchers’ profiles and suggesting potential collaborators. This approach supports the transition from infrastructure-centric to idea-centric research, driving innovation and addressing complex problems collaboratively.