ResearchResearch paperRetrieval, RAG & Search · Large Language Models1 source · Oct 21, 2026

pplx-embed-v2-late Technical Report

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.

[1]pplx-embed-v2-late Technical Report
arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 21, 10:10 AM
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.

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