What is Dense Retrieval?

Dense Retrieval uses dense vector embeddings to match queries with documents based on semantic similarity, rather than relying on exact term matching. Models like bi-encoders and cross-encoders are often employed to create these embeddings.

Dense retrieval is a key component in systems like RAG and semantic search, providing superior accuracy in understanding user intent and delivering relevant results.