We Make AI Work| Vespa Blog
We Make AI Work| Vespa Blog
Advances in Vespa features and performance include Lexical Search Query Performance, Pyvespa Relevance Evaluator, Global-phase rank-score-drop-limit, and Compact tensor representation.| Vespa Blog
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Improvements made to triple the query performance of lexical search in Vespa.| Vespa Blog
Learn how the ModernBERT backbone model paves the way for more efficient and effective retrieval pipelines, and how to use ModernBERT in Vespa.| Vespa Blog
Part one in a blog post series on billion-scale vector search. This post covers using nearest neighbor search with compact binary representations and bitwise hamming distance.| Vespa Blog