LoraDB v0.12: Vectors, end to end
LoraDB v0.12 is a vector release.
v0.5 made the engine stream. v0.6 made persistence feel like a system. v0.7 was a process release. v0.8 made plans and runtime metrics easier to inspect. v0.9 gave the planner a schema catalog. v0.10 made the function library a library. v0.11 put the engine behind a URL at play.loradb.com.
v0.12 turns the vector type into a real index. Until this release a
VECTOR value was a first-class property you could store, score, and
return, but CREATE VECTOR INDEX was a catalog entry with no backing
structure. Every k-NN query did a flat scan over every label-matching
node. v0.12 keeps that behaviour as a deliberate fallback and adds an
HNSW backend, hybrid pre-filters, four similarity metrics, int8
quantization, async populate, and snapshot persistence behind it. The
playground gets a tuning wizard so none of this requires reading the
catalog by hand.