Dense retrieval's reliance on surface-level semantic similarity is insufficient for increasingly complex search applications, according to an investigation into agentic retrieval for complex tasks. The research examines the performance and costs of agentic retrieval approaches compared with dense retrieval in modern information systems and agentic workflows.
Modern information systems, including many agentic workflows, use dense retrieval to explore large amounts of unstructured data. However, dense retrieval relies on surface-level semantic similarity, which is insufficient for increasingly complex search applications. Here, we investigate agentic retr
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