geocontext

An experimental API providing spatial context for LLM.

Motivation

REST/GeoJSON API can be invoked by LLMs for RAG purpose. Meanwhile, trying to integrate the use apicarto.ign.fr from IGNF in ChatGPT leads to consider the following points (see apicarto - issue #109 (french)) :

Some input params are not relevant (too many options, GeoJSON input geom instead vs lon,lat,...)
Some default values are not adapted (there is no reason to define defaults limits to 5000 features)
Large GeoJSON polygons in API responses are not relevant and leads to ResponseTooLargeError with ChatGPT.
There is no need to produce GeoJSON Feature with id, properties and a geometry put on a pedestal.
...

This is an attempt to create a "facade" over existing spatial services to ease usage with LLM.

Principles

~~No geocoding (as ChatGPT already use multiple sources to find lon,lat for a given location)~~ (bad quality)
Use external service for geocoding
- Ex : docs/gpf-autocompletion.yaml adapted from geoservices.ign.fr - Service Géoplateforme d’autocomplétion
No large geometries in responses.
JSON responses as flat as possible (no GeoJSON Feature or FeatureCollection)
Integration of geoservices from Géoplateforme first.