Rich Picture Designer: an AI agent to draw and understand complex problems
I have a very visual memory. When I need to understand a problem, reading the description is not enough. I need to see who is involved, what pulls ea…
Category
Applied AI
RAG, agents and language models applied to real problems, including geospatial ones.
4 articles
Geospatial GraphRAG Compared to Vector RAG
RAG projects rarely fail for lack of data; the problem usually lies in whether the retrieval method can support questions that depend on relationship…
Beyond the Bot: The Anatomy of an Operational Agent for Emergencies
When people talk about automation in geoprocessing, they usually picture a script running in a loop or a bot answering predefined commands. In critic…
Beyond Latitude and Longitude: Creating Spatial Embeddings for RAG
When I started combining large language models (LLMs) with geographic data, my first temptation was to treat latitude and longitude as "just two more…
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