Why LinkedIn added semantic matching: keyword-only search missed relevant posts

_jaydeepkarale · x · 2026-11-06

LinkedIn's search team found two failure modes: returning nothing when no post contained all query keywords, or returning keyword-matching posts that didn't actually answer the question due to lack of conceptual understanding. Analysis showed correct-answer posts often existed in the index without matching every keyword—motivating the addition of semantic matching (embedding-based retrieval and ranking) to the content search engine.

Related event: Inside LinkedIn's Semantic Search Overhaul: Two-Tower Retrieval and Two-Stage Ranking(6 posts)→

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