Dense Retrieval
A retrieval method based on vector semantic similarity that encodes queries and documents into dense vectors and matches them using approximate nearest neighbor algorithms. Representative algorithms include HNSW and IVF.
Timeline (last 90 days)
Combining dense retrieval, sparse retrieval (such as BM25) and metadata filtering can reduce misses from any single retrieval method.
The Retriever is responsible for quickly recalling candidate passages from a large-scale document library, and common implementations include dense retrieval, sparse retrieval, and hybrid retrieval.
All Facts (2)
Combining dense retrieval, sparse retrieval (such as BM25) and metadata filtering can reduce misses from any single retrieval method.
50%UnverifiedThe Retriever is responsible for quickly recalling candidate passages from a large-scale document library, and common implementations include dense retrieval, sparse retrieval, and hybrid retrieval.
50%