Check the image:

Is api/atelier web application enabled?

You have to write your object as String into a Ens.StreamContainer and sent it to a EnsLib.File.PassthroughOperation Business Operation.

Check the configuration of api/atelier web application. It should be enable to connect through port 80:

https://community.intersystems.com/post/having-trouble-connecting-your-v...

Try modifying the default action RESTRICT for CASCADE like this:

ALTER TABLE table DROP COLUMN column CASCADE %DELDATA

https://docs.intersystems.com/iris20251/csp/docbook/DocBook.UI.Page.cls?...

Well, I guess that the reason for the storage of DICOM images out of the database is the huge size of these images. 

I was working for a time for a VNA provider and many studies composed by hundred of DICOM images usually weighted more than 4 and 5 GB.

Have you tried changing the column names avoiding whitespaces and "-" character?

Maybe my example can help you: 

https://community.intersystems.com/post/diagnosis-searching-similarities...

I wrote an article 2 years ago, maybe you can use it: 

https://community.intersystems.com/post/predictions-integrated-ml-and-iris

I've another about time series predictions, tell me if you are interested.

Do you get any error from de Ollama console? Maybe you can try directly with Mistral docker image, bypassing the Ollama image:

https://hub.docker.com/r/ai/mistral

Do you have IRIS configured in the same network that Ollama?

networks:
      - iris-llm2-network

Have you tried the notation: file:///yourfolder/yoursubfolder/yourfile.xsd?

Thank you @Brett Saviano! 

Maybe I'm missing something. This is my container:

ARG IMAGE=containers.intersystems.com/intersystems/iris-community:latest-preview

But I can't see the button.

Is it available for Docker distribution?

You can use...Embedded Python! You just need a business service EnsLib.File.PassthroughService to get the the json file and send it into a BP with a ClassMethod to get all the lines, here you can see an example:

https://www.geeksforgeeks.org/read-a-file-line-by-line-in-python/

You can save the object directly from the Embedded Python method or return a list of strings and map it into an Objectscript object.

The code was developed for ensemble in theory it should work.