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Hacker News·5 min read·hard

Mapping with In-Memory Layers to Reduce LLM Overload

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Buckwheat469
Mapping with In-Memory Layers to Reduce LLM Overload
AI Summary

The developers of RidgeText explain how they optimized map generation by using in-memory layers instead of passing large GeoJSON files to an LLM. This approach prevents context window overload and reduces costs while maintaining tool reliability.

If you ask RidgeText to generate a fire perimeter map with trails overlaid, the response now includes a map with fire perimeters and your trail route layered on top — all rendered in a single image and sent via SMS.

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