17 citations · 44 across the 12 of their papers we have counts for
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cs.CL2023★ 11 cited
Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
Michael Günther, Jackmin Ong, Isabelle Mohr +10
Text embedding models have emerged as powerful tools for transforming sentences into fixed-sized feature vectors that encapsulate semantic information. While these models are essen…
cs.CL2023★ 2 cited
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
Michael Günther, Louis Milliken, Jonathan Geuter +3
Jina Embeddings constitutes a set of high-performance sentence embedding models adept at translating textual inputs into numerical representations, capturing the semantics of the t…