title: Open Deep Search: Democratizing Search with Open-source Reasoning Agents
summary: 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.
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paper_authors.name: Yihan Jiang
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paper_authors.name: Arda Kaz
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paper_authors.fullname: Arda Kaz
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paper_authors.user: speedyarda
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paper_authors.name: Windsor Nguyen
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paper_authors.fullname: Windsor Nguyen
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paper_authors.name: Sewoong Oh
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paper_authors.fullname: Sewoong Oh
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paper_authors.name: Himanshu Tyagi
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paper_authors.fullname: Himanshu Tyagi
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paper_authors.name: Pramod Viswanath
paper_title: Open Deep Search: Democratizing Search with Open-source Reasoning Agents
paper_summary: 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.
paper_ai_summary: Open Deep Search enhances open-source language models with a reasoning agent and search tool, achieving competitive performance compared to proprietary AI solutions.
paper_ai_keywords: LLMs reasoning agents Open Search Tool Open Reasoning Agent DeepSeek-R1 SimpleQA FRAMES web search tools