ConceptDense Passage Retrieval / 稠密向量检索
DPR
A dense vector retrieval technique that encodes text into dense vectors and retrieves results by computing semantic similarity. DPR is a core component of Retrieval-Augmented Generation (RAG) systems, and differs from traditional sparse keyword-based retrieval methods such as BM25 and TF-IDF.
Timeline (last 90 days)
Sep 11
Representative models for dense vector retrieval include DPR, BGE, and text-embedding-ada.
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