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@reedu-kepler.gl/ai-assistant
Advanced tools
The AI Assistant is a module that adds an AI chatbot to Kepler.gl. This module aims to integrates Kepler.gl with AI-powered capabilities, enabling it to interact with multiple AI models seamlessly.
The system is designed to enable Kepler.gl, a React-based single-page application, to integrate an AI Assistant Module for performing tasks with large language models (LLMs) like OpenAI GPT models, Google Gemini models, Ollama models, etc.
Below is a flow map that shows how a user can update a basemap in Kepler.gl through a simple AI-driven prompt, showcasing the integration of LLMs with application actions and rendering.
The AI Assistant Module also provides a set of tools to support data analysis and visualization. These AI Tools are designed to be used in conjunction with the Kepler.gl application and transform kepler.gl into a powerful spatial data analysis and visualization tool. For more details about the AI Assistant Module, please to https://github.com/geodacenter/openassistant.
LLMs use these AI Tools to perform spatial data analysis and visualization tasks to help users explore and understand their data.
For example, a user can ask the AI Assistant to simply change the basemap to a voyager
basemap, and the AI Assistant will call the basemap
tool to change the basemap.
For complex tasks, the AI Assistant can use multiple tools to perform the task. For example, a user can ask the AI Assistant if the points dataset loaded in kepler.gl is clustering in zipcode areas. The AI Assistant could call the following tools to perform the task:
mapBoundary
to get the boundary of current map viewqueryUSZipcode
to get a list of zipcodes using the map boundaryusZipcode
to fetch the geometries of the zipcodes from Github sitesaveData
to save the zipcode areas as a new GeoJSON dataset in kepler.glspatialJoin
to count the number of points in each zipcode areasaveData
to save the spatialJoin result as a new dataset in kepler.glweightsCreation
to create a e.g. queen contiguity weights using the spatialJoin resultlocal Moran's I
to apply local Moran's I using the counts and the queen contiguity weightssaveData
to save the local Moran's I result as a new dataset in kepler.gladdLayer
to add the local Moran's I result as a new layer in kepler.glThese fine grained spatial tools are designed to transform the LLMs, which are fundarmentally statistical language models, into powerful spatial data analysis and visualization AI Agent.
As of May 2025, the AI Assistant Module supports the following AI Tools:
Kepler.gl Tools
Plot Tools
Query Tools
OSM Tools
Spatial Analysis Tools (powered by Geoda)
FAQs
kepler.gl AI assistant
We found that @reedu-kepler.gl/ai-assistant demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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