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

TL;DR AI

Key summary

1 min read
  1. A RAG team stalled at 58% recall after testing several embedding models.

  2. Adding a reranker boosted recall to 81% in one afternoon.

  3. The result suggests the bottleneck was the single-vector architecture, not the embedding choice.

  4. Late-interaction methods like ColBERT can improve retrieval more effectively than swapping embeddings.

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