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UID:pretalx-foss4g-2026-FQGS8T@talks.osgeo.org
DTSTART;TZID=JST:20260902T170000
DTEND;TZID=JST:20260902T173000
DESCRIPTION:While LLMs excel at synthesizing text\, they lack geospatial aw
 areness and cannot reason over spatial networks. This talk demonstrates ho
 w Geo-GraphRAG and DGGS\, grounded in open standards\, enable geospatial r
 easoning with transparent\, traceable results.
DTSTAMP:20260604T232542Z
LOCATION:Conference Management Room5
SUMMARY:Methods for Introducing Geospatial Awareness to Large Language Mode
 ls with Integrity\, Provenance\, and Trust through Open Standards and Open
  Source - Nathan McEachen
URL:https://talks.osgeo.org/foss4g-2026/talk/FQGS8T/
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