GeoAI meets LLMs – Intelligent agents for enhanced decision-making

Discover how the fusion of geospatial AI and large language models (LLMs) is transforming the way we make decisions. In our latest video, we compare standard LLM outputs (like those from ChatGPT) with the JackDaw agentic system, which combines LLM reasoning with real-time, domain-specific data and tool integrations.

Through three real-world scenarios, the benefits of this hybrid approach come to life:

1. Weather Queries

LLM Only: Offers generic explanations or refers users to external links - without real-time context.
JackDaw Agent: Calls a live weather API tied to a specific map location, delivering precise, localized forecasts right when and where they're needed.

2. Agricultural Suitability Analysis

LLM Only: Provides broad suggestions (e.g., how to grow potatoes) without considering the unique environmental features of a location.
JackDaw Agent: Integrates land cover, elevation, and real-time weather data to assess if a specific area is suitable for potato farming—yielding targeted, actionable insights.

3. Identifying Water Bodies

LLM Only: Prone to vague or incorrect answers (e.g., referencing distant landmarks).
JackDaw Agent: Uses hydrological data layers and land cover tools to accurately detect rivers, lakes, and other water features in a given area.

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