One post tagged with "Vector Search"

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.