Technical GlossaryNatural Language Processing
Sparse Retrieval
A classical yet still powerful retrieval approach based on term- or word-level matching.
Sparse retrieval forms the historical backbone of search engines through methods such as BM25 and inverted-index systems. It offers advantages in keyword precision, interpretability, and low latency. It can outperform dense retrieval in cases involving rare terms, identifiers, code, product names, or legal phrasing. In modern systems, it is often used together with dense approaches in hybrid setups.
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