English to SQL plus: 2 layers retrievals, 6 channel embedding. Not a simple Cosine I got tired of text-to-SQL tools that let the model emit raw SQL against a live DSN. L1 Dense cosine (plus exact/typo name-link) Schema names — tables, aliases, long columns L2 VectorPrism Schema chunks — 1024d tensor, six channels per chunk (dense core + relational + disentangled + hyperbolic + identity + causal). Query is encode_query → PSM search. Joins still only from declared join_paths.