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On-device · no API key
AI Lab · Data-Quality Hub
Three ways embeddings guard your data.
One on-device embedding model, three jobs rules can't do: infer what a schema's fields actually mean, measure semantic drift between two data snapshots, and tell breaking schema changes from safe ones (with rename detection). All in your browser.
Embedding model loads on first run (~25 MB, cached after).
Schema Whisperer — infer structure & meaning from examples
Drift Lens — semantic drift between two snapshots
Breaking-Change Radar — schema diff with rename detection
Data-Quality Hub · original labs by John Mikel Regida
embeddings · transformers.js · on-device