Cross Encoder

A retrieval process that re-scores and re-orders an initial list of candidate documents using a specialized model to improve relevance.

A system component responsible for fetching relevant documents or passages from a knowledge base given a query.

A machine learning model that converts text, images, audio, or other data into dense numerical vector representations that capture semantic meaning for retrieval, similarity search, and related AI tasks.

A search technique that analyzes sentence meaning and intent rather than matching literal keywords.

A 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.