实施DeepSearch/DeepResearch的实用指南
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It's only February, and DeepSearch has already emerged as the new search standard in 2025, with major players like Google and OpenAI leading the charge through their DeepResearch releases (and yes, we proudly launched our open-source node-deepresearch on the same day). Perplexity followed suit with their DeepResearch, and X AI integrated their own DeepSearch capabilities into Grok3, basically creating another DeepResearch variant. While the concept of deep search isn't revolutionary – in 2024 it was essentially termed as RAG or multi-hop QA – it gained significant momentum after Deepseek-r1's release in late January 2025. Last weekend, Baidu Search and Tencent WeChat Search have integrated Deepseek-r1 in their search engines. AI engineers have discovered that by incorporating long-thinking and reasoning processes into search systems, they can achieve remarkable retrieval accuracy and depth beyond what was previously possible.
现在是仅仅二月，DeepSearch已经成为2025年的新搜索标准，主要参与者如Google和OpenAI通过他们的DeepResearch发布引领潮流（是的，我们在同一天自豪地推出了我们的开源node-deepresearch）。Perplexity紧随其后推出了他们的DeepResearch，而X AI将他们自己的DeepSearch能力整合到Grok3中，基本上创造了另一个DeepResearch变体。尽管深度搜索的概念并不革命性——在2024年它基本上被称为RAG或多跳QA——但在2025年1月底Deepseek-r1发布后，它获得了显著的动力。上周末，百度搜索和腾讯微信搜索已在他们的搜索引擎中整合了Deepseek-r1。AI工程师发现，通过将长时间思考和推理过程纳入搜索系统，他们可以实现超越以往的显著检索准确性和深度。
But why did this shift happen now, when Deep(Re)Search remained relatively undervalued throughout 2024? In fact, Stanford NLP Labs released the STORM project for long report generation with web grounding back in early 2024. So is it just because "DeepSearch" sounds way cooler than multi-hop QA, RAG, or STORM? Let's be honest - sometimes a rebrand is all it takes for the industry to suddenly embrace what was there all along.
但为什么这种转变在现在发生，而在2024年，Deep(Re)Search仍然相对被低估？事实上，斯坦福NLP实验室在2024年初发布了STORM项目，用于生成带有网络基础的长报告。那么这仅仅是因为“DeepSearch”听起来比多跳QA、RAG或STORM更酷吗？老实说，有时候重新品牌就是行业突然接受一直存在的东西所需的一切。
We believe the real turning point came with OpenAI's o1-preview release in September 20...