Sparse Retrieval overview

Sparse Retrieval as a cross-cutting topic — keyword-based retrieval using sparse vector representations. Covers BM25 as the dominant baseline, TF-IDF weighting, learned sparse retrieval models (SPLADE, DeepImpact), inverted index construction, and the strengths of sparse methods for exact term matching, rare vocabulary, and domain-specific terminology where dense models lack training signal.