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Paper · arXiv

OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources

Real-world information needs require access to structurally diverse knowledge sources, from unstructured text and relational tables to knowledge graphs and property graphs. Existing retrievers, however, operate over one source at a time under a fixed query language, leaving the broader landscape of available knowledge fragmented behind incompatible interfaces. A natural attempt at unification would collapse these sources into a shared space, but this erases the structural affordances (such as schemas, ontologies, compositional operators) that give each source its expressive power. Effective retrieval over diverse knowledge, therefore, requires not homogenization but an overarching layer t...

AuthorsJinheon Baek, Soyeong Jeong, Sangwoo Park et al.
Primary categorycs.CL
Published28 May 2026
Last updated at source28 May 2026
cs.CLcs.AIcs.IRcs.LG
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