Sparse Retrieval

Sparse Retrieval uses high-dimensional sparse representations and inverted indexes (such as BM25) to score text matching based on term frequency. It is highly effective for exact keyword lookup, alphanumeric IDs, and specialized terminology, but fails to match semantically equivalent queries using different words.