FFN knowledge index extracted from google/gemma-3-4b-it using LARQL.

Treats transformer FFN weights as a queryable knowledge graph — retrieval via dot-product graph walks against gate vectors, no matrix multiplication.

A vindex decouples a model's knowledge from its inference machinery. The FFN weights become a queryable graph — DESCRIBE returns typed knowledge edges, WALK traces activation paths, INFER runs graph-walk inference at 31 tok/sec on CPU.

See LARQL for the full engine.