rag-colbert-sigir-2020

Summary

ColBERT is a search method that compares individual words between a query and a document at query time, rather than squashing everything into a single summary vector up front. This matters because it gives the system a practical middle ground: better relevance than cheap single-vector lookups, without the full computational cost of heavy cross-encoder models, making it a viable baseline for passage-level retrieval.