Perplexity open-sourced pplx-embed-v2-late on Oct 7, a pair of MIT-licensed multimodal embedding models (0.6B and 9B) for retrieval across text, images, and PDFs, with no OCR needed.
AspireAI community · huggingface.co
Perplexity open-sourced pplx-embed-v2-late on Oct 7, a pair of MIT-licensed multimodal embedding models (0.6B and 9B) for retrieval across text, images, and PDFs, with no OCR needed.
The interesting bit: both sizes share the same embedding space, so a 0.6B model can query an index built with the 9B version, giving you cheap online queries on expensive offline indexing.
Built on Qwen3.5 with bidirectional attention, late-interaction ColBERT style (one 128-dim vector per token, scored with MaxSim). Loads via sentence-transformers 6.0+.
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