# Introducing pplx-embed-v2-context: open-weight vision-language embedding models in 9B and 0.6B

**URL:** <https://community.perplexity.ai/t/introducing-pplx-embed-v2-context-open-weight-vision-language-embedding-models-in-9b-and-0-6b/6466>\
**Category:** Announcements\
**Tags:** api\
**Created:** [November 3, 2026, 1:09am UTC](https://community.perplexity.ai/t/introducing-pplx-embed-v2-context-open-weight-vision-language-embedding-models-in-9b-and-0-6b/6466 "2026-11-03T01:09:18Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![pplx-announcements](https://avatars.discourse-cdn.com/v4/letter/p/c37758/32.png) [@pplx-announcements](https://community.perplexity.ai/u/pplx-announcements)\
**Post date:** [November 3, 2026, 1:09am UTC](https://community.perplexity.ai/t/introducing-pplx-embed-v2-context-open-weight-vision-language-embedding-models-in-9b-and-0-6b/6466/1 "2026-11-03T01:09:18Z")

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Both return one int8 vector per document, or one per chunk that sees the whole document.

Read the paper, written with turbopuffer: [[2610.38854] Contextual Embeddings Beyond the Gold Chunk](https://arxiv.org/abs/2610.38854)

 ![HWJsWC9akAEeBf4.png](https://us1.discourse-cdn.com/flex001/uploads/sonar1/original/2X/4/4469718fbc2fe4a67155ee803ad7072e03160c16.png)