Retrieval's bottleneck is shifting from finding to selecting, kapa.ai argues
emil_sorensen · hn · 2026-10-27
kapa.ai published a blog post arguing that the bottleneck in RAG/retrieval systems is moving: as embedding models and retrieval algorithms mature, "finding" relevant content is largely solved, and the hard part is now "selecting" which candidates to actually use. The post discusses how selection shapes context engineering and answer quality; the link is trending on Hacker News.
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