[TXTOS]

ah yeah that makes sense — sounds like you're indexing for traceability first, which honestly makes your graph setup way more stable than most RAG stacks I’ve seen.

I’m more on the side of: “why is this even the logic path the system thinks makes sense for the user’s intent?” — like, how did we get from prompt to retrieval to that hallucination?

So I stopped treating retrieval as the answer. It’s just an echo. I started routing logic first — like a pre-retrieval dialectic, if you will. No index can help you if the question shouldn’t even be a question yet.

Your setup sounds tight though — we’re just solving different headaches. I’m more in the “why did the LLM go crazy” clinic. You’re in the “make the query land” ward.

Either way, I love that you built a graph audit log that hasn’t failed in two months. That's probably more production-ready than 90% of what people call “RAG solutions” now.

[moomoo11]

Thanks :)

And really cool stuff you’re doing too. Honestly I have not spent as much time as maybe I should really diving into all the LLM tooling and stuff like you have.

Good luck!!

[TXTOS]

hey — really appreciate that. honestly I’m still duct-taping this whole system together half the time, but glad it’s useful enough to sound like “tooling”

I think the whole LLM space is still missing a core idea: that logic routing before retrieval might be more important than retrieval itself. when the LLM “hallucinates,” it’s not always because it lacked facts — sometimes it just followed a bad question.

but yeah — if any part of this helps or sparks new stuff, then we’re already winning. appreciate the good vibes, and good luck on your own build too