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arXiv 2610.29722 · cs.CL · 2026-10-21

Retrieval Augmented Generation Compositionality

Ido Levy, Segev Shlomov, Leshem Choshen

IBM

In latest · #267 Added on 2026-10-24

One-line takeaway

IBM's open-source LASAGNA framework runs controlled RAG evaluation across 450 configurations, eight benchmarks and corpora from 5K to 200K documents, testing whether isolated gains from embedding, chunking, retrieval, reranking, query augmentation, compression and agentic verification survive composition and scale.

IBM 的 LASAGNA 开源框架做受控 RAG 评测:把嵌入、分块、检索、重排、查询扩展、上下文压缩和智能体校验组合起来测,450 种配置、8 个基准、语料从 5K 到 200K 文档,检验单项技术的收益在组合和大规模下是否还成立。

54HF upvotes
20GitHub stars
0Citations (Semantic Scholar)
48.7Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

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