Crucible Enhances Nugget-Based RAG Retrieval Performance
In a Jan. 19, 2026 arXiv submission, researchers introduce Crucible, a Nugget-Augmented Generation System that constructs Q&A nugget banks from retrieved documents and preserves explicit citation provenance during generation. Evaluated on the TREC NeuCLIR 2024 collection, Crucible substantially outperforms the recent nugget-based RAG system Ginger on nugget recall, density, and citation grounding, reducing repeated information via interpretable Q&A semantics.
Key Points
- 1Introduces Crucible, a nugget-augmented RAG system constructing Q&A nugget banks from retrieved documents
- 2Preserves explicit citation provenance and avoids repetition through interpretable Q&A semantics instead of opaque clusters
- 3Outperforms Ginger on TREC NeuCLIR 2024 for nugget recall, density, and citation grounding
Scoring Rationale
Novel nugget-based RAG approach shows measurable TREC NeuCLIR gains; limited by arXiv preprint status and single-benchmark evaluation.
Sources
Public references used for this report.
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