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Agentic search system enhances NASA Earth observation data discovery

By PulseAugur Editorial · [2 sources] ·

Researchers have developed an agentic search system designed to improve the discovery of Earth observation data from NASA's extensive archives. This system leverages large language models and knowledge graphs to interpret natural language queries and identify relevant datasets and tools. To evaluate its effectiveness, an open benchmark called NASA-EO-Bench was created, comprising 47,000 query-dataset pairs. The system demonstrated significant improvements in retrieval accuracy, outperforming traditional methods and further enhanced by an agentic reranking stage. AI

IMPACT This agentic search system could streamline scientific research by making vast datasets more accessible, potentially accelerating discoveries in Earth sciences.

RANK_REASON The cluster contains a research paper detailing a new system and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Agentic search system enhances NASA Earth observation data discovery

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The cluster contains a research paper detailing a new system and benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Minghan Yu, Youran Sun, Chugang Yi, Yixin Wen, Haizhao Yang ·

    Bringing Agentic Search to Earth Observation Data Discovery

    arXiv:2607.02387v1 Announce Type: cross Abstract: NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even for domain experts. We present an agentic search sys…

  2. arXiv cs.LG TIER_1 English(EN) · Haizhao Yang ·

    Bringing Agentic Search to Earth Observation Data Discovery

    NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony. Finding the right one is hard even for domain experts. We present an agentic search system, deployed as a public service for the geoscien…

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