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Perplexity open-sources multimodal multi-vector embedding model

1 report1 sourceupdated 3 hours ago

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On October 8, 2026, Perplexity open-sourced pplx-embed-v2-late in 9B and 0.6B versions, with weights on Hugging Face. Both are late-interaction multi-vector embedding models that handle text and images and share an embedding space. The 9B version can index multimodal data; the 0.6B version runs queries on-device and retrieves PDF pages without OCR. The release materials report 92.4% on MADQA and 64% on BrowseComp+.

Written by AI from the coverage · updated 2 hours ago

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Oct 8
  1. AI HOT · Models
    Perplexity 开源 pplx-embed-v2-late 多模态嵌入模型,提供 9B 与 0.6B 版本

    Perplexity 开源 pplx-embed-v2-late,提供 9B 和 0.6B 两个文本与图像 late-interaction 多向量嵌入模型,权重已在 Hugging Face 提供。两者共享嵌入空间,9B 可用于多模态数据索引,0.6B 可在设备端查询,无需 OCR 即可检索 PDF 页面。材料报告模型在 MADQA 得分 92.4%,在 BrowseComp+ 得分 64%。

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