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...	...	@@ -26,13 +26,13 @@
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27	27	= How do I query the KG Spatial Search? =
28	28
29		-Simply use the API endpoint at [[https:~~/~~/spatial.kg.ebrains.eu/api/>>https://spatial.kg.ebrains.eu/api/]] by running queries according to the following examples:
	29	+Simply use the API endpoint at [[https:~~/~~/spatial.kg.ebrains.eu/api/spatial_objects>>https://spatial.kg.ebrains.eu/spatial_objects]] by running queries according to the following examples:
30	30
31	31	== Get started: Query by a "bounding box" (hyperrectangle) ==
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33	33	{{code language="bash" layout="LINENUMBERS"}}
34	34	curl -X 'POST' \
35		- 'https://spatial.kg.ebrains.eu/spatial-search/cores/ebrains/spatial_objects' \
	35	+ 'https://spatial.kg.ebrains.eu/api/spatial_objects' \
36	36	-H 'accept: application/json' \
37	37	-H 'Content-Type: application/json' \
38	38	-d '{
...	...	@@ -73,7 +73,7 @@
73	73	* Polyhedrons are translated via the [[vtk>>https://pypi.org/project/vtk/]] library into a point cloud of (currently) a density of 1 coordinate unit (by ray-casting on an obb-tree)
74	74	* Other geometries are work-in-progress
75	75
76		-The resulting files (all representing point-clouds) as well as the space definitions are uploaded to the [[bucket of this collab>>https://wiki.ebrains.eu/bin/view/Collabs/kg-spatial-search/Bucket]]. A cron job running on the spatial search server pulls the files from the repo and rebuilds the databases index in regular intervals.
	76	+The resulting files (all representing point-clouds) as well as the space definitions are uploaded to the [[bucket of this collab>>https://data-proxy.ebrains.eu/kg-spatial-search]]. A cron job running on the spatial search server pulls the files from the repo and rebuilds the databases index in regular intervals.
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