Tag: dense-retrieval

Dense Passage Retrieval trained separate neural encoders for questions and passages, showing that learned vector similarity could outperform strong BM25 retrieval on several open-domain question-answering benchmarks.

The 2020 RAG architecture joined dense document retrieval with sequence generation, giving language models an explicit external memory they could search before producing answers.