With the code in azure-search-integrated-vectorization-sample.ipynb I could create a datasource, index, indexer and skillset. The indexer could be created when there was no data in the storage account connected to the datasource, but failed once there was data with the following error:
Not such host is known
Could not execute skill because Web Api skill response is invalid. For more information, please see https://go.microsoft.com/fwlink/?linkid=2325488
After a lot of searching - and no help from here lol - I was able to make the indexer run successfully by increasing the rate limit of my embedding model deployment in Foundry. It was at the default of 6 per minute, which is not enough for even a handful of documents.
After increasing the limit to 900, the indexer ran successfully.
Thanks to kamranayrub!
https://github.com/orgs/microsoft-foundry/discussions/275