This paper studies a model of costly sequential search among risky alternatives performed by a group of agents. The learning process stops, and the best uncovered option is implemented when the agents unanimously agree to stop or when all the projects have been researched. Both the implemented project and all the information gathered during the search process are public goods. I show that the equilibrium path implements the same project based on the same information gathered in the same order as the social planner. At the same time, due to free riding, search in teams leads to a delay at each stage of the learning process, which grows with search costs. Consequently, the team manager prefers to delegate the search to an individual agent. In contrast, every agent prefers searching with a partner, since she collects the same reward but only pays the search cost half the time.