... When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes: Vector search wins when your corpus is massive, messy, and unstructured. Thousands of docs, no clean boundaries, meaning matters more than exact words. Filesystem plus grep wins when your corpus is structured ... ... similar they are but roughly between 500-1000 files is where you start feeling the heat without a vector index Comment from Hung Tran(@hung_tran_from_notebook_os): Team hybrid, and I don't think that's a cop

... eigenst ndige Pr senz wirken kann, ist https://der-arkadenhof.at/ . Comment from YekSoon Lok(@ys_askodin): Having operated on both sides of the table as an allocator and a founder, I view this through a different lens. The binary of "personal brand vs. product" is a distraction. The actual prerequisite is Thesis and Positioning . At askOdin, before we wrote a single line of code for our Deterministic Compiler, we established the exact taxonomy of the market. We identified that the last mile ... ... there's probably nothing more efficient than a founder led audience. You're borrowing trust you haven't earned yet as a brand, and that shortcut can be the difference between getting your first 100 users in a week versus