Reranking
A retrieval process that re-scores and re-orders an initial list of candidate documents using a specialized model to improve relevance.
Explore more about Knowledge Retrieval
Related terms
A neural reranking model that jointly encodes a query and a candidate document to produce a highly accurate relevance score.
Dense RetrievalA retrieval technique that uses dense vector embeddings to identify semantically relevant documents based on similarity in an embedding space.
Retrieval-Augmented GenerationRAGAn architectural pattern that enhances generative model responses by retrieving relevant information from external knowledge bases.
RetrieverA system component responsible for fetching relevant documents or passages from a knowledge base given a query.
Hybrid SearchA retrieval technique that combines semantic vector search with keyword-based lexical search to improve the relevance, accuracy, and recall of retrieved information by leveraging the strengths of both approaches.