Enhancing geodatabases operability: advanced human-computer interaction through RAG and Multi-Agent Systems
The increasing demand for efficient geographic data querying has underscored the need to improve both the speed and accuracy of such operations. This study presents a novel approach that combines Retrieval-Augmented Generation (RAG) with a Large Language Model (LLM)-based Multi-Agent System (MAS) to...
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| Main Authors: | Ziming Peng, Xi Kuai, Shuisong Ke, Xuehui Dong, Renzhong Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2025.2483541 |
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