Perplexity releases pplx-embed-v2-context embedding models
Read original source →arxiv.org
Open-weight vision-language embedding models in 9B and 0.6B sizes, both returning one int8 vector per document or per chunk. The 9B model sets a new state of the art on Context-bench, Q2D-Chunk and ConTEB, and leads dense retrievers on visual ViDoRe-V3.
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