Researchers from University of Washington, Princeton University, and UC Berkeley have introduced Open Deep Search (ODS), an open-source search AI framework designed for seamless integration with any user-selected large language model (LLM).
ODS comprises two central components: the Open Search Tool and the Open Reasoning Agent, which enhance content retrieval and reasoning accuracy.
ODS demonstrates superior performance compared to proprietary alternatives, achieving higher accuracy on benchmark tests.
By democratizing search-enhanced AI, ODS encourages innovation, transparency, and broader participation in the development of sophisticated search and reasoning capabilities.