English TO SQL
2 layer retrievals no just cosine similarity
What it does
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.
Upload your schema. Get parameterized SQL you run — the model never writes it. Sandbox free, Developer $49/mo, Pro $399/mo.
Does the same job
all alternatives →- TETranslate English to SQL2019 · github.com · ▲209
- AAAskData – API to Translate Natural Language-2-Sql2019 · askdata.com · ▲111




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