A perspective-conditioned RAG architecture is proposed for AI-assisted LCA interpretation, using scenario anchors, micro-queries, and neutral synthesis, demonstrated on a hydrogen diesel reduction case in Italian apple production.
(2024) Business insights using RAG–LLMs: a review and case study
2 Pith papers cite this work. Polarity classification is still indexing.
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Describes an engineering sequence implementing local RAG chatbots for cultural heritage collections to empower curators while using Dataverse for archiving.
citing papers explorer
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LCAi: Life Cycle Assessment with big data fusion and retrieval-augmented generation-assisted interpretation
A perspective-conditioned RAG architecture is proposed for AI-assisted LCA interpretation, using scenario anchors, micro-queries, and neutral synthesis, demonstrated on a hydrogen diesel reduction case in Italian apple production.
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Co-creation of AI technology, empowering curators of cultural heritage information and guarding research commons
Describes an engineering sequence implementing local RAG chatbots for cultural heritage collections to empower curators while using Dataverse for archiving.