The LangFlow toolkit uses Apache Airflow to define and run workflows using the LangChain toolkit. If such a workflow used or generated geospatial information sources, then wrapping it in OGC API Processess, and capturing details of the source, output and training data usage using the PROV model makes sense to integrate into spatial systems.
extend any OGC Records or STAC client to display provenance information
extend and OGC Records or STAC editor to display and manage provenance information
These are all fairly small individually - but publishing the profiles as Building Blocks - or testing existing ones with these scenarios - ensures a output that can be built upon systematically, so any combination of the tasks has value to progress GeoDCAT and OGC APIs as an interoperability framework for XGeoAI - "Explainable AI for Geospatial".
The LangFlow toolkit uses Apache Airflow to define and run workflows using the LangChain toolkit. If such a workflow used or generated geospatial information sources, then wrapping it in OGC API Processess, and capturing details of the source, output and training data usage using the PROV model makes sense to integrate into spatial systems.
Potential codesprint outputs:
These are all fairly small individually - but publishing the profiles as Building Blocks - or testing existing ones with these scenarios - ensures a output that can be built upon systematically, so any combination of the tasks has value to progress GeoDCAT and OGC APIs as an interoperability framework for XGeoAI - "Explainable AI for Geospatial".