... 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

... wanted to close: surfacing the right film for a specific mood without making the user do an hour of curation. So I tried the inverse. Hand-build a semantic taxonomy of film moods, classify the entire corpus against it, match user queries via cosine similarity. No collaborative filter, no training set, no user data. The stack Next.js / Vercel, stateless PWA. No native app. 75-register mood taxonomy I hand-curated over months. Each one has an editorial definition + canonical exemplar ... ... films. Stuff like warm hug, neon nights, anxious dread, intellectual puzzle, melancholy beauty. Defining "wistful" vs