lasagna
Swap one RAG pipeline stage, hold the rest fixed, and measure whether the gain survives composition. The framework behind "Retrieval Augmented Generation Compositionality": 450 configurations, eight benchmarks, corpora from 5K to 200K documents.
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GITHUB · launched Oct 21, 2026 · 17 upvotes (top 70%)
- Horizontal
- Observability & eval
- Developer
- AI-native
- Hobby / open-source project
- ablation-study
- agentic-rag
- beir
- benchmark
- evaluation
- hybrid-search
- +14 more
Similar launches
See all 703 similar launches →Could you build this?
Yes The framework is mostly orchestration of existing retrieval, reranking, and LLM components with benchmark loaders and a config grid, which a developer can assemble with an AI assistant. The research findings require compute to reproduce, but the tool itself is buildable.
Competitors
Other products that read as similar to this one : 703 launches clear the similarity bar, closest 8 shown.
Attention rank: #439 of 704 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 356 days after the earliest competitor.
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- RAG-BenchLab · github · 2026-10-05 · 14 upvotes · similarity 0.54
- ScholarCatalyst · github · 2026-09-29 · 17 upvotes · similarity 0.47
- IResearch · hn · 2026-05-20 · 15 upvotes · similarity 0.47
- ExtractBench, an open-source schema extraction benchmark · hn · 2026-08-11 · 6 upvotes · similarity 0.47
- genpark-self-refine-iterative-critique-optimization-skill · github · 2026-09-28 · 7 upvotes · similarity 0.46
- multimodal-rag-showcase · ph · 2026-10-29 · 1 upvotes · similarity 0.45
- genpark-semantic-chunk-hierarchy-re-ranker-skill · github · 2026-09-26 · 7 upvotes · similarity 0.44
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