You have a few options here:
You can connect a server-mode Rasa X installation (so not through pip, but using one of the other installation methods) to your open source deployment so that conversations flow in to Rasa X, even though the model is not being served by Rasa X. Then you can save these as stories. There are instructions for connecting an existing deployment here:
If you just want to use Rasa X for local development and not to collect production user conversations, you can run Rasa X in local mode and only use Interactive learning and share your bot. If you didn’t want to load in your whole bot data-wise, you could start it in a dummy repo that contains the necessary structure, but very little data, and then upload a model you had trained elsewhere. If you’re wanting to save conversations to your training data though, I’d imagine it makes sense to have your training data available in Rasa X, even if you don’t use it to train a model - I’m not sure what you mean re.
these are too many to be handled by rasa anyway
If you’d like to clarify that might change things.
If you don’t want to use the other features in Rasa X that’s entirely up to you, the buttons will still be there but you can just ignore them.