AI Game Discovery
Search by mood, genre, difficulty, length, or similarity. QVAC local matching recommends games from a real reference catalogue and highlights Novarite games when available.
QVAC Local AI Engine
Novarite's discovery engine uses QVAC embeddings (GTE-Large FP16) to match natural language queries against a real game reference catalogue entirely on-device. Your search preferences never leave your machine — no cloud AI API, no tracking, no rate limits.
The hosted web page uses lightweight browser-side matching as a demo. Run the local QVAC CLI or start the API server for full semantic embeddings:
node qvac/game-discovery.mjs "underwater survival exploration"node qvac/server.mjs# then set NEXT_PUBLIC_QVAC_API_URL=http://localhost:4000About this integration
Novarite integrates the QVAC SDK as its core game discovery engine. QVAC embeddings run locally and on-device to match player intent against game metadata using cosine similarity over GTE-Large FP16 vector representations. This directly addresses one of indie gaming's central problems: small games are hard to find, and players often don't know exact tags or genres. QVAC allows natural-language discovery while preserving user privacy.