pplx-embed-v2-late Technical Report

arXiv:2610.29523 · cs.IR, cs.CL, cs.LG · Submitted 2026-10-21 · Read on arXiv

cs.IR, cs.CL, cs.LG

Submitted: 2026-10-21

Updated: 2026-10-21

License: http://creativecommons.org/licenses/by-nc-nd/4.0/

The gist: In this report, we introduce pplx-embed-v2-late, a pair of 0.6B and 9B multilingual and multimodal late-interaction models.

Abstract

In this report, we introduce pplx-embed-v2-late, a pair of 0.6B and 9B multilingual and multimodal late-interaction models. Both models achieve state-of-the-art results within their respective size classes across a range of text, image, and visual document retrieval benchmarks. On visual document retrieval tasks, pplx-embed-v2-late-0.6b is competitive with models several times larger than itself. The models are trained via representation distillation from an 18B teacher. Consequently, they share an embedding space that supports asymmetric deployment: documents can be indexed with the 9B model and queried with the low-latency 0.6B model. Both models are available at https://huggingface.co/collections/perplexity-ai/pplx-embed-v2.

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