I built a deterministic proxy to drop stale context (Cuts token burn by ~50%). Stress-testing it this week. [P]

Hey everyone, I’ve been researching why enterprise RAG pipelines fail in production. The silent killer is 'Context Rot', retrieval pipelines returning semantically perfect but factually outdated context (superseded docs, old API specs). I built an open-source proxy (KU-Gateway) that sits between the vector DB and the LLM. It mathematically scores context chunks for temporal decay and physically drops stale payloads before synthesis. I just ran an E