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OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources

arXiv 2605.29250 ↗First posted 28 May 2026cs.CL cs.AI cs.IRcited by 0

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Abstract (arXiv)

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 that meets each source on its own terms. To achieve this, we present OmniRetrieval, a framework that takes any natural-language query, identifies appropriate knowledge sources, and dispatches source-native queries to their native execution engines. Across an extensive benchmark spanning 13 datasets and 309 distinct knowledge bases over text, relational, and graph-structured sources, OmniRetrieval exceeds single-source baselines, demonstrating that it can serve as a general-purpose interface to the heterogeneous sources while preserving the structural distinctions that make each source valuable.

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References · 34

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  5. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  6. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  7. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  8. 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,655
  9. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  10. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,591
  11. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  12. 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
22 more
  1. 2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Modelscited by 1,225
  2. 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,120
  3. 2025OpenAI GPT-5 System Cardcited by 910
  4. 2020Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrievalcited by 846
  5. 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLscited by 667
  6. 2020Fact or Fiction: Verifying Scientific Claimscited by 546
  7. 2022Precise Zero-Shot Dense Retrieval without Relevance Labelscited by 508
  8. 2023Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluationcited by 378
  9. 2023StructGPT: A General Framework for Large Language Model to Reason over Structured Datacited by 339
  10. 2023GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarkingcited by 209
  11. 2015Large-scale Simple Question Answering with Memory Networkscited by 127
  12. 2022Evaluating the Text-to-SQL Capabilities of Large Language Modelscited by 101
  13. 2022Compositional Semantic Parsing with Large Language Modelscited by 95
  14. 2020UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answeringcited by 61
  15. 2025VideoRAG: Retrieval-Augmented Generation over Video Corpuscited by 55
  16. 2024Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?cited by 53
  17. 2021Open Domain Question Answering with A Unified Knowledge Interfacecited by 32
  18. 2024Text2Cypher: Bridging Natural Language and Graph Databasescited by 30
  19. 2023Direct Fact Retrieval from Knowledge Graphs without Entity Linkingcited by 22
  20. 2024Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphscited by 7
  21. 2025ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilitiescited by 3
  22. 2025When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMscited by 3

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