UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
arXiv 2603.28773•acd0ceebb3454f359918a72b4e20bfd0345a2949c5e1d559faeace88fea13369
KGQALLMsRAGRDFautomated-extractioncontinual-learningcross-domain-KDdata-leakageembeddingsgraph-retrievalknowledge-distillationknowledge-graphslog-parsingmixture-of-expertsmodel-robustnessmulti-vectorprivacyrecommender-systemsreproducibilityretrieval-augmented-generationscore-calibrationsecurity-loggingtokenizationvector-retrieval
Paper metadata
- arXiv ID
- 2603.28773
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- acd0ceebb3454f359918a72b4e20bfd0345a2949c5e1d559faeace88fea13369
- Enrichment time
- 2026-04-01T08:52:16Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.