A 0.6B query encoder can search a 9B index: Perplexity's pplx-embed-v2-late multimodal embeddings, MIT
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Perplexity released pplx-embed-v2-late, 2 ColBERT-style embedding models (0.6B and 9B) for text, images and rendered PDF pages. Both share 1 embedding space. MADQA (agentic PDF QA): 9B hits 92.4% accuracy vs 88.9% for Mixedbread's retriever; 0.6B gets 90.1% BrowseComp+ (GPT-OSS-120B agent): 9B reac…
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- 2026-10-08 05:51 · r/machinelearningnews
A 0.6B query encoder can search a 9B index: Perplexity's pplx-embed-v2-late multimodal embeddings, MIT