A retrieval method that uses dense vector embeddings, enabling semantic search and advanced contextual retrieval.
More about 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.
