Closed reranking search results models

5 in the catalogue today, and the list grows as the market does. Every one with what it costs, who sells it and where it stands.

Models that take a handful of results a search already found and put them in the right order. They are the cheap second stage of retrieval: an embedding search casts a wide net fast, a reranker reads the candidates properly. Because they only ever see a few documents, they cost little per query, and they usually improve a weak search more than a better embedding model would.

Models whose weights are not published and which are bought through somebody's API. You get the maker's infrastructure, their scale and their uptime, and no way to run the thing yourself or to keep it if it is withdrawn. Most of the strongest models are here, so this is less a choice than a fact about the market; the choice is which seller you buy the same model from, and the catalogue holds their prices side by side.

Wider

Closed models Reranking search results models