Definition
Dense retrieval is the standard approach to search in which documents and queries are each encoded into fixed-length vector embeddings, and relevance is scored by nearest-neighbor similarity in that vector space. It underlies most modern semantic search and RAG pipelines, and serves as the baseline against which newer, more expressive retrieval architectures — such as using a full language model directly as the retriever — are compared.