Search-o1 is a research system that augments large reasoning models (similar to OpenAI o1, QwQ, and R1) with agentic search capabilities. The system uses retrieval-augmented generation and iterative reasoning to solve complex mathematical and reasoning benchmarks including AIME, AMC, and GPQA. It represents an agent architecture that dynamically retrieves external knowledge to guide and refine the reasoning chain.