We are thrilled to release LateOn and DenseOn, two open retrieval models that outperform existing state-of-the-art (SOTA) models on BEIR, alongside the large-scale datasets, mixture studies, and curation experiments that made them possible. SOTA retrieval has long been locked behind closed data, stalling progress for everyone outside a handful of private labs. With this release, everything is on the table, and our decontamination experiments confirm the gains come from genuine generalization, not leakage.
DenseOn |
LateOn |
PyLate |
FastPLAID
