Reranker Model
A reranker model takes a shortlist of candidate results — usually produced by a fast initial retrieval step such as embedding-based vector search — and re-scores them with a more precise, computationally heavier comparison to reorder them by true relevance.
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Glossary Terms(2)
Embedding Model
An embedding model converts text, images, or other data into dense numerical vectors that capture semantic meaning, so that items with similar meaning end up c…
Reranker Model
A reranker model takes a shortlist of candidate results — usually produced by a fast initial retrieval step such as embedding-based vector search — and re-scor…