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Autocomplete and suggestion features

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AI/ML in Gnok Goes Production-Grade: Filtered ANN, Point-in-Time Features, and Schema-Aware Autocomplete

· 6 min read
Gnok Team

The AI/ML stack in Gnok has been usable for a while — register an ONNX model, build an HNSW index, materialize a feature group, run inference inline. What's new this month is that every track now holds up at production scale: vector search with WHERE clauses no longer falls back to brute-force, point-in-time training joins read durably from Iceberg time-travel, and the SQL editor knows which models you've actually registered.

This post walks through the three biggest changes — filtered ANN, offline-backed feature lookups, and the schema-aware ML autocomplete — with the SQL you can run today.