LTR Model and Model Serving Framework

Versions (relevant - OpenSearch/Dashboard/Server OS/Browser):
Open Search 2.9

Describe the issue:

We have been working LTR Plugin for search relevancy. In this context, as per the LTR needs,

The feature set needs to be created using api
The logging feature has to be invoked using api
Accordingly the judgment list needs to be created
The model (e.g. xgboost) has be trained
The model needs to be uploded.

Wanted to understand with model serving framework in place, can all the steps for ltr be done using the model serving framework and pipeline. If yes, can you refer to an example.

If not, do we have any plans for this down the line


Relevant Logs or Screenshots:

I am looking for same feature in opensearch 2.11.1