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Do you actually train the LLM or use RAG? I have been looking for a local LLM + Wikipedia RAG solution for a while now.
For now I just have kiwix-serve + searxng doing a simple search but the Kiwix search is...questionable.
So this is actively in progress, and right now I'm having trouble getting my tesla P4's working in my proxmox environment. The P4 is supported for vgpu out of the box, allegedly, but the installer I used is forcing a kernel version pin which isn't making me happy:
https://github.com/anomixer/proxmox-vgpu-installer/issues/16
So at this time, I'm just connecting API's.
Somewhere in my documents, I have a scoped ticket for how to use kiwix as the source for the LLM to pull information directly from, populate its answer organically, and naturally respond to question at hand, without word-vomiting a wiki entry complete. The last I looked, you can poll the kiwix DB directly without using the search engine.
I can dig that up for you if it still exists; it's actually why I'm looking at kiwix (back burner project for now but the spirit moved me).
PS: You're aware of LLM-wiki? That might suit your purposes better, if your corpus is bespoke and updating. Works nicely.
https://tinyurl.com/llmwiki