Dense Retrieval

Vector-based retrieval in which the query and documents are represented in the same semantic space. It finds relationships that literal matching misses, but can fail on acronyms, codes, and rare terms. It should therefore be evaluated alongside lexical signals and a reranker, not treated as a universal replacement for keyword search.