Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models

1. 1Construct a knowledge graph to represent geospatial data and its relationships
2. 2Utilize large language models to power a multi-agent framework for data discovery
3. 3Implement semantic search capabilities to capture user intent and improve retrieval performance
4. 4Integrate the framework with existing data catalogs and portals for enhanced functionality

Data scientists and AI engineers on a team can benefit from this framework as it enhances geospatial data discovery, while product managers can leverage it to improve user experience

💡 Knowledge graph-driven multi-agent frameworks powered by LLMs can improve geospatial data discovery by capturing user intent and providing semantic support

💡 Intelligent geospatial data discovery with knowledge graphs & LLMs