构建可动态替换组件的金融领域RAG评测平台
SMARTFinRAG: Interactive Modularized Financial RAG Benchmark
- 模块化架构支持运行时组件灵活替换
- 基于新文档生成领域专属问答对评估效果
- 适合金融AI研发与部署团队使用
金融行业正快速采用语言模型技术，但评估该领域的专用RAG系统仍具挑战。本文提出SMARTFinRAG，解决金融RAG评估中的三大关键问题：(1) 全模块化架构，支持运行时动态更换组件；(2) 文档为中心的评估范式，基于新摄入的金融文档生成领域专属问答对；(3) 直观界面弥合研究与实现之间的鸿沟。评估量化了检索有效性和回答质量，揭示不同配置下的显著性能差异。平台开源架构支持透明、可复现的研究，同时应对金融机构部署RAG系统时面临的实际挑战。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。