Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA
What happened
Perplexity has released pplx-embed-v2-late , a pair of ColBERT-style multimodal (able to work with more than one kind of input, such as text and images) embedding models. Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes.
Both are MIT-licensed and ready to self-host. They come in 2 sizes: 0.6B for fast, cheap queries and 9B for maximum quality.
Both models retrieve text, images and rendered PDF pages, and they share one embedding space. Both models are on Hugging Face under the MIT license.
Key facts
- Perplexity has — released: pplx-embed-v2-late , a pair of ColBERT-style multimodal embedding models
Sources & evidence
- MarkTechPost Reporting source
Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA ↗
https://www.marktechpost.com/2026/10/07/perplexity-ai-releases-pplx-embed-v2-late-a-0-6b-edge-model-and-a-9b-model-scoring-92-4-on-madqa/