Cohere

A second-stage retrieval process where a high-precision model (often a cross-encoder) re-evaluates and re-orders a preliminary list of candidate passages to optimize relevance.

Neural network architectures that compute deep, bidirectional attention across query and passage tokens simultaneously to produce highly accurate relevance scores.

A semantic search paradigm utilizing dense neural embeddings, where all vector dimensions contain continuous real numbers representing the latent meaning of text.