Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages

Summary

<p>Liquid AI's LFM2.5 Retrievers combine a dense bi-encoder and ColBERT late-interaction model for multilingual search on edge devices.</p> <p>The post <a href="https://www.marktechpost.com/2026/06/19/liquid-ai-introduces-lfm2-5-embedding-350m-and-lfm2-5-colbert-350m-dense-bi-encoder-and-late-interaction-models-for-fast-multilingual-search-across-11-languages/">Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>