ColBERTv-2

ColBERTv-2 is a benchmark that evaluates the effectiveness of multi-vector retrieval systems in information retrieval applications by measuring the similarity between queries and documents using token-level embeddings.

Papers using ColBERTv-2 (1)

LEMUR: Learned Multi-Vector Retrieval2026