newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago
RAGless: Q-Q retrieval with score aggregation for closed-domain FAQ [P]
What it does RAGless is a semantic retrieval system based on Question-to-Question matching. At ingestion, an LLM generates multiple question variants per answer (3–5) and each variant gets its own embedding. At query time, the user question is embedded, Top-K nearest question variants are retrieved, and scores are aggregated by answer_id — the answer with the highest aggregated score wins. Threshold logic uses two gates: minimum ag
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownAsk, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement →
- LinkedLinked via unknownAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering →
- LinkedLinked via unknownQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs →
- LinkedLinked via unknownLittle Brains, Big Feats: Exploring Compact Language Models →
- LinkedLinked via unknownEfficient Retrieval-Augmented Generation via Token Co-occurrence Graphs →
- LinkedLinked via unknownClinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering →
Covers
Covers (incoming)
paperCovering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented GenerationpaperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question AnsweringpaperQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge GraphspaperKnow Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented GenerationpaperLittle Brains, Big Feats: Exploring Compact Language ModelspaperEfficient Retrieval-Augmented Generation via Token Co-occurrence GraphspaperClinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question AnsweringpaperInfluMatch: Frontier-Quality KOL Search at 4B-Model CostpaperFrom Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14bpaperRSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM GenerationrepoYigtwxx/awesome-rag-productionrepoLynavo/lynavo-drivepaperCost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and Brepomicrosoft/benchmark-qedpaperEvidence Interfaces Shape How Retrieval-Augmented Readers Use SupportpaperA Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP DatasetpaperWhen Trivia Is Not Trivial: Everyday Knowledge Failures in Multilingual LLMs
Related across the graph
paperEvidence Interfaces Shape How Retrieval-Augmented Readers Use SupportpaperLittle Brains, Big Feats: Exploring Compact Language ModelspaperClinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question AnsweringpaperAsk, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-ImprovementrepoLynavo/lynavo-driverepomicrosoft/benchmark-qedpaperA Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP DatasetpaperAB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question AnsweringpaperInfluMatch: Frontier-Quality KOL Search at 4B-Model CostpaperCost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and BpaperRSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM GenerationpaperEfficient Retrieval-Augmented Generation via Token Co-occurrence GraphspaperWhen Trivia Is Not Trivial: Everyday Knowledge Failures in Multilingual LLMspaperQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge GraphspaperKnow Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented GenerationpaperFrom Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14bpaperCovering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented GenerationrepoYigtwxx/awesome-rag-production