Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Authors: name: Salaheddin Alzubi, name: Creston Brooks, name: Purva Chiniya, name: Edoardo Contente, name: Chiara von Gerlach, name: Lucas Irwin, name: Yihan Jiang, name: Arda Kaz, name: Windsor Nguyen, name: Sewoong Oh, name: Himanshu Tyagi, name: Pramod Viswanath

We introduce Open Deep Search (ODS) to close the increasing gap between the
proprietary search AI solutions, such as Perplexity's Sonar Reasoning Pro and
OpenAI's GPT-4o Search Preview, and their open-source counterparts. The main
innovation introduced in ODS is to augment the reasoning capabilities of the
latest open-source LLMs with reasoning agents that can judiciously use web
search tools to answer queries. Concretely, ODS consists of two components that
work with a base LLM chosen by the user: Open Search Tool and Open Reasoning
Agent. Open Reasoning Agent interprets the given task and completes it by
orchestrating a sequence of actions that includes calling tools, one of which
is the Open Search Tool. Open Search Tool is a novel web search tool that
outperforms proprietary counterparts. Together with powerful open-source
reasoning LLMs, such as DeepSeek-R1, ODS nearly matches and sometimes surpasses
the existing state-of-the-art baselines on two benchmarks: SimpleQA and FRAMES.
For example, on the FRAMES evaluation benchmark, ODS improves the best existing
baseline of the recently released GPT-4o Search Preview by 9.7% in accuracy.
ODS is a general framework for seamlessly augmenting any LLMs -- for example,
DeepSeek-R1 that achieves 82.4% on SimpleQA and 30.1% on FRAMES -- with search
and reasoning capabilities to achieve state-of-the-art performance: 88.3% on
SimpleQA and 75.3% on FRAMES.