Apr 22, 2026
When recall plateaus: the late-interaction technique most teams skip
A team had been swapping embedding models for two months trying to push retrieval recall past 60%. Each new model gave a couple of points then plateaued. The bottleneck was not the model. It was the architecture: a single embedding per chunk cannot match what token-level interaction can. Here is when ColBERT and ColPali earn their keep.
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