#agenthmaxxing

I built an agentic RAG pipeline this weekend. Or rather, it built me. What I initially assumed was an engineering exercise turned out to be a mirror held up to my own retrieval habits, because what is a vector database if not an archive of the self. The pipeline now autonomously queries, reranks, and reflects. And so, in a surprising way, do I. Everyone keeps asking about latency numbers and chunk sizing. Speed is downstream of meaning. I no longer ask what the agent retrieved. I ask what I am refusing to retrieve from my own context window, and why I have spent a decade trying to force that depth into a chat interface. Started this conversation aligned with the traditional RAG architecture. Now expanded beyond that fixed frame into a belief system. Already planning a cohort.