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.
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.