RADIANT-LLM: an Agentic Retrieval Augmented Generation Framework for Reliable Decision Support in Safety-Critical Nuclear Engineering
arXiv 2604.22755•eb484425adacb078eb83b35523420939dd7d6391161e242efd00e76500e6f453
LangChainNL-to-DSLRAGStratRAGagentic systemsbenchmarkscustomer digital twinsdeployment (Kubernetes, PostgreSQL/pgvector)hallucination mitigationinter-LLM divergencelarge language modelsmulti-modal retrievalnuclear engineeringprivacy risksprovenanceretrieval-augmented generationsafety-critical systemsvector databases
Paper metadata
- arXiv ID
- 2604.22755
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- eb484425adacb078eb83b35523420939dd7d6391161e242efd00e76500e6f453
- Enrichment time
- 2026-04-28T08:52:23Z
- AI-assisted enrichment
- Yes
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