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Retrieval-augmented and web-grounded models. Models and rankers that ground answers in retrieved evidence. Reach for these when an answer has to be traceable to a source. A pass over results usually lifts a retrieval stack more than a bigger generator does, and it is priced per thousand queries rather than per token.
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What to look for
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One model tracked today. These are the criteria that will separate the next ones.
- 01
Rerankers multiply recall
A reranking stage often improves RAG quality more than upgrading the generator.
- 02
Query pricing
Rerank models price per 1K queries, a different economics from token pricing.
- 03
Freshness requirements
Web-grounded answers need live retrieval; static corpora don't.
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