Methods › Natural Language Processing › Transformers › RAG
RAG
Introduced by Patrick Lewis et al. in Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Retriever-Augmented Generation, or RAG, is a type of language generation model that combines pre-trained parametric and non-parametric memory for language generation. Specifically, the parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. For query x, Maximum Inner Product Search (MIPS) is used to find the top-K documents zᵢ. For final prediction y, we treat z as a latent variable and marginalize over seq2seq predictions given different documents.
Papers archive 2025-07-28
30 shown of 1,286, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-ranker 16 Jul 2025 · 1 repository · arXiv:2507.12378
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Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis 14 Jul 2025 · 0 repositories · arXiv:2507.10382
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Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning 9 Jul 2025 · 1 repository · arXiv:2507.10571
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The Dark Side of LLMs Agent-based Attacks for Complete Computer Takeover 9 Jul 2025 · 0 repositories · arXiv:2507.06850
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SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression 8 Jul 2025 · 0 repositories · arXiv:2507.05633
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CyberRAG: An agentic RAG cyber attack classification and reporting tool 3 Jul 2025 · 0 repositories · arXiv:2507.02424
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Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work 3 Jul 2025 · 0 repositories · arXiv:2507.02760
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Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems 28 Jun 2025 · 0 repositories · arXiv:2506.22852
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ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation 27 Jun 2025 · 0 repositories · arXiv:2506.21931
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EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora 26 Jun 2025 · 1 repository · arXiv:2506.20963
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Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation 26 Jun 2025 · 0 repositories · arXiv:2506.21384
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PsyLite Technical Report 26 Jun 2025 · 1 repository · arXiv:2506.21536
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Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality 26 Jun 2025 · 1 repository · arXiv:2506.20978Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
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AI Assistants to Enhance and Exploit the PETSc Knowledge Base 25 Jun 2025 · 0 repositories · arXiv:2506.20608
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CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation 25 Jun 2025 · 0 repositories · arXiv:2506.20128
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Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation 25 Jun 2025 · 0 repositories · arXiv:2506.20869
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Knowledge-Aware Diverse Reranking for Cross-Source Question Answering 25 Jun 2025 · 0 repositories · arXiv:2506.20476
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Memento: Note-Taking for Your Future Self 25 Jun 2025 · 0 repositories · arXiv:2506.20642
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Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks 24 Jun 2025 · 0 repositories · arXiv:2506.20009
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Controlled Retrieval-augmented Context Evaluation for Long-form RAG 24 Jun 2025 · 0 repositories · arXiv:2506.20051
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Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs 24 Jun 2025 · 0 repositories · arXiv:2506.19967
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KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models 24 Jun 2025 · 0 repositories · arXiv:2506.19466
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T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent 23 Jun 2025 · 0 repositories · arXiv:2506.18559
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REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing 19 Jun 2025 · 0 repositories · arXiv:2506.16444
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cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree 18 Jun 2025 · 1 repository · arXiv:2506.15655
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AviationLLM: An LLM-based Knowledge System for Aviation Training 17 Jun 2025 · 0 repositories · arXiv:2506.14336
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Lightweight Relevance Grader in RAG 17 Jun 2025 · 1 repository · arXiv:2506.14084
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RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition 17 Jun 2025 · 0 repositories · arXiv:2506.14412
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Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences 16 Jun 2025 · 2 repositories · arXiv:2506.13996
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LTRR: Learning To Rank Retrievers for LLMs 16 Jun 2025 · 1 repository · arXiv:2506.13743
Tasks archive 2025-07-28
20 shown of 363 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| RAG | 1,281 |
| Retrieval-augmented Generation | 1,083 |
| Retrieval | 943 |
| Question Answering | 315 |
| Language Modelling | 137 |
| Large Language Model | 123 |
| Language Modeling | 116 |
| Hallucination | 114 |
| Information Retrieval | 104 |
| Benchmarking | 52 |
| Knowledge Graphs | 52 |
| Text Generation | 51 |
| Answer Generation | 39 |
| Reranking | 35 |
| Chunking | 34 |
| Response Generation | 34 |
| Open-Domain Question Answering | 30 |
| Decision Making | 29 |
| Prompt Engineering | 29 |
| In-Context Learning | 27 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections