SMARTFinRAG: Interactive Modularized Financial RAG Benchmark
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Financial sectors are rapidly adopting language model technologies, yet evaluating specialized RAG systems in this domain remains challenging. This paper introduces SMARTFinRAG, addressing three critical gaps in financial RAG assessment: (1) a fully modular architecture where components can be dynamically interchanged during runtime; (2) a document-centric evaluation paradigm generating domain-specific QA pairs from newly ingested financial documents; and (3) an intuitive interface bridging research-implementation divides. Our evaluation quantifies both retrieval efficacy and response quality, revealing significant performance variations across configurations. The platform's open-source architecture supports transparent, reproducible research while addressing practical deployment challenges faced by financial institutions implementing RAG systems.
Publication details
- DOI
- 10.48550/arxiv.2504.18024
- OpenAlex
- W4416379342
- Document type
- preprint
- Language
- EN
- Source
- arXiv (Cornell University)
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