#1 GeoAI Maps Explorer

The GeoAI Map Explorer transforms how users interact with maps. Instead of clicking through layers and tools, users can simply ask questions about geographic features, and the system dynamically adjusts the map display to provide the requested information.

• Real-world Use Case: An emergency management team needs to understand the current evacuation zones and the location of available shelters during a hurricane. They can ask, "Show me evacuation zones for Hurricane Zeta and highlight available shelters." The GeoAI Map Explorer would then display this information directly on the map, allowing for immediate visual analysis and informed decision-making.
• Capability Benefits: 
  • Intuitive Map Interaction: Navigate and query maps using natural language, eliminating the need for complex GIS software training.
  • Dynamic Data Overlay: Overlay various geospatial datasets on demand, such as weather patterns, population density, or infrastructure.
  • Enhanced Situational Awareness: Quickly visualize critical information to support rapid response and planning.

Personalized Map Views: Users can customize map displays based on their specific needs and interests.

Test Harness UI to add any feature service and ask questions using natural language.

JSON Inspector shows how call is translated to AI

 Query results show extracted highlighted data (in this case roads that fit the criteria) as well as table

#2 GeoAI Documents Explorer

The GeoAI Documents Explorer is designed to extract, summarize, and answer questions from large volumes of unstructured textual data, such as reports, permits, and historical documents, connecting them to their geospatial context.

• Real-world Use Case: A city planner needs to review environmental impact reports for a new construction project. Instead of reading hundreds of pages, they can ask, "Summarize the key environmental concerns identified in the permit applications for the new downtown high-rise project." The Documents Explorer would then provide a concise summary, highlighting relevant sections and potential geospatial implications.
• Capability Benefits:
  • Intelligent Document Search & Summarization: Quickly find specific information within vast document repositories and generate concise summaries.
  • Contextual Understanding: Link document content to geospatial locations, providing a richer understanding of data.
  • Time Savings: Drastically reduce the time spent manually reviewing documents.

Improved Decision-Making: Access critical insights from documents that might otherwise remain undiscovered.

Data Lake Explorer can select specific documents and ask questions in natural language

#3 GeoAI Data Explorer

Conversational Access to Structured Data;

The GeoAI Data Explorer empowers users to query and analyze structured geospatial datasets through natural language, eliminating the need for complex database queries or statistical software.

• Real-world Use Case: A researcher is studying urban growth patterns and wants to know the population change in specific zip codes over the last decade, along with the corresponding changes in commercial property values. They can ask, "What was the percentage population change in zip codes 84094 and 84095 between 2010 and 2020, and what was the average commercial property value increase in those areas during the same period?" The GeoAI Data Explorer would then retrieve and present this statistical information.
• Capability Benefits: 
  • Ad-hoc Data Analysis: Perform complex queries on structured data without writing code or using specialized tools.
  • Data Aggregation and Reporting: Generate custom reports and visualizations based on specific data points.
  • Democratization of Data: Make powerful data analysis accessible to a wider range of users.

Rapid Insight Generation: Quickly identify trends, anomalies, and correlations within datasets.

Easy upload, configuration file, or even STAC Explorer can guide adding data sources to RAG.

After loading the RAG with the layers you want to include, a user can then ask a natural language question that cuts across those data sources

#4 GeoAI LLM Orchestrator

4. The LLM Add-on is an additional embedded AI connection that can be utilized for non-geospatial related queries and provides additional contextual information to the geospatial operations without needing to leave the interface.

• This is where the orchestration comes to fruition
• Call traditional LLM asks
• Use AI Agents to call and outputs the other 3 components

Bringing it all together with a standard ChatBot interface. The demo below shows the components separately to show how it is managed, yet can easily be brought into the GeoAI Chatbot LLM as AI Agent calls based on desired output - show on a map, show as data, explore document outputs, etc.

Putting it all together: The GeoAI Chat were built as a series of components which can be integrated into the LLM ChatBot. Watch this video to see a full review of all components:

What's Next in the Workbench