Infrastructure & deployment
Retriever-Free Retrieval: Navigating Documents with Decision Models
The paper’s abstract describes a retrieval system that uses decision models to navigate corpus structure rather than relying on a separate retriever.
Why it matters: For agent builders, DecisionRAG’s reported approach offers a way to use language-model judgments during retrieval without token generation or a first-stage retriever. Its reported benchmark gains and query times make retrieval quality and latency relevant evaluation points, though the supplied evidence is only the paper’s abstract.