Rerankers are used downstream from an embedding model. Embedding models are "coarse" so they give false positives for things that may not be as relevant as cont

Rerankers are used downstream from an embedding model. Embedding models are "coarse" so they give false positives for things that may not be as relevant as contender text. Re-ranker, ranks bunch of text based on a query in order to find the most relevant ones. You can then take them and feed them as context to some other query.