Sparse Retrieval

A search approach that represents documents and queries as sparse vectors, where most values are zero, based on word or term frequencies. Classic methods like TF-IDF and BM25 are forms of sparse retrieval. They are fast, interpretable, and still highly effective for many tasks, though they lack the semantic awareness of semantic search and miss relevant content that uses different vocabulary.
See also: RAG pipeline.