for the metadata, LLMs may not prove so great. Use MusicBrainz Picard or Beets
andreas
joined 7 months ago
I use local AI for coding (more recently) and ML Photo storage facial recognition and security camera object detection (been using the later 2 for years now actually, don't want that kind of info out on someone else's cloud training on my images)
I run dozens of proxmox LXCs, most with docker, but can confirm that while proxmox is fantastic to host NFS shares, it is near impossible to mount external ones to LXCs without doing some weirdness on the host. best practice would be to turn the NFS into samba or something and configure the docker vms and LXCs to use that (45drives has awesome repos on GitHub that work really well; that's how I worked around that issue) the only downside is you need to usually offload everything as a backup first before the switch.
I've been using Libreddit and now it's fork RedLib side by side with Lemmy. Haven't had too many problems, does seem to be a good way to access the knowledge you mentioned without specific api use (it runs in docker too) https://github.com/redlib-org/redlib
I like to store useful medical and survival information either in my ArchiveBox and/or kiwix containers. I've also been meaning to put together a local wiki.js with more custom info. TubeArchivist is really good too for storing instructional videos for offline use, or videos I find incredibly useful that have a strong likelihood of being taken down by YouTube so I save them first.