A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search
Ad hoc dataset search requires matching underspecified natural-language queries against sparse, heterogeneous metadata records, a task where typical lexical or dense retrieval alone falls short. We reposition dataset search as a software-architecture problem and propose a bounded, auditable reference architecture for agentic hybrid retrieval that combines BM25 lexical search with dense-embedding retrieval via reciprocal rank fusion (RRF), orchestrated by a large language model (LLM) agent that r
Record details
Published: 28 March 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (28 March 2026), “A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search,” evidence record 6630, https://ethics.ai/record/6630 (originally published by arXiv).
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