When recall plateaus: the late-interaction technique most teams skip

TL;DR AI
1 min readKey summary
A RAG team stalled at 58% recall after testing several embedding models.
Adding a reranker boosted recall to 81% in one afternoon.
The result suggests the bottleneck was the single-vector architecture, not the embedding choice.
Late-interaction methods like ColBERT can improve retrieval more effectively than swapping embeddings.
