Copertina

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bolognesi, Giorgia, Estatico, Claudio, Fugacci, Ulderico, Mastroianni, Isabella, Muselli, Claudio, Oneto, Luca
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Technical Documents Retrieval for RAG
di: Lai, Songjiang, et al.
Pubblicazione: (2025)

VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
di: Huwiler, Daniel, et al.
Pubblicazione: (2025)

LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG
di: Yue, Xiao, et al.
Pubblicazione: (2026)

Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
di: Brehme, Lorenz, et al.
Pubblicazione: (2026)

SemLink: A Semantic-Aware Automated Test Oracle for Hyperlink Verification using Siamese Sentence-BERT
di: Yang, Guan-Yan, et al.
Pubblicazione: (2026)

Progressive Searching for Retrieval in RAG
di: Jeong, Taehee, et al.
Pubblicazione: (2026)

StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
di: Patodiya, Aryan
Pubblicazione: (2026)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
di: Madhu, Hiren, et al.
Pubblicazione: (2026)

Topological Correlation
di: Mastroianni, Isabella, et al.
Pubblicazione: (2025)

Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
di: Hwang, Dae Yon, et al.
Pubblicazione: (2024)

BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents
di: Wang, Shu, et al.
Pubblicazione: (2025)

A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning
di: Liu, Jiate, et al.
Pubblicazione: (2026)

LightRAG: Simple and Fast Retrieval-Augmented Generation
di: Guo, Zirui, et al.
Pubblicazione: (2024)

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
di: Suresh, Susheel, et al.
Pubblicazione: (2026)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
di: Fan, Yixing, et al.
Pubblicazione: (2025)

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
di: Papadimitriou, Ioannis, et al.
Pubblicazione: (2024)

Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents
di: Taiwo, Samuel, et al.
Pubblicazione: (2026)

Engineering the RAG Stack: A Comprehensive Review of the Architecture and Trust Frameworks for Retrieval-Augmented Generation Systems
di: Wampler, Dean, et al.
Pubblicazione: (2025)

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
di: Hou, Yanning, et al.
Pubblicazione: (2026)

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
di: Samuel, Saron, et al.
Pubblicazione: (2026)

FlexStructRAG: Flexible Structure-Aware Multi-Granular Relational Retrieval for RAG
di: Chen, Mengzhu, et al.
Pubblicazione: (2026)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
di: Zhang, Xuechen, et al.
Pubblicazione: (2025)

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges
di: Liang, Jintao, et al.
Pubblicazione: (2025)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
di: Wang, Baiqiang, et al.
Pubblicazione: (2025)

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
di: Fan, Dongzhe, et al.
Pubblicazione: (2026)

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
di: Thakur, Nandan, et al.
Pubblicazione: (2025)

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
di: Zhang, Jiale, et al.
Pubblicazione: (2025)

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
di: Wang, Shu, et al.
Pubblicazione: (2025)

Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
di: Nainwani, Harshit, et al.
Pubblicazione: (2025)

A Multi-Source Retrieval Question Answering Framework Based on RAG
di: Wu, Ridong, et al.
Pubblicazione: (2024)

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
di: He, Jinglin, et al.
Pubblicazione: (2025)

Test-Time Strategies for More Efficient and Accurate Agentic RAG
di: Zhang, Brian, et al.
Pubblicazione: (2026)

Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
di: Allu, Uday, et al.
Pubblicazione: (2026)

TechGraphRAG: An Agentic Graph-Augmented RAG Framework for Technical Literature Reasoning
di: Singh, Kanwar Bharat
Pubblicazione: (2026)

Clue-RAG: Towards Accurate and Cost-Efficient Graph-based RAG via Multi-Partite Graph and Query-Driven Iterative Retrieval
di: Su, Yaodong, et al.
Pubblicazione: (2025)

SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
di: Yu, Rui, et al.
Pubblicazione: (2026)

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
di: Dai, Sijun, et al.
Pubblicazione: (2026)

Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration
di: Li, Yuejie, et al.
Pubblicazione: (2026)

XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
di: Wang, Ke, et al.
Pubblicazione: (2025)

FastInsight: Fast and Insightful Retrieval via Fusion Operators for Graph RAG
di: An, Seonho, et al.
Pubblicazione: (2026)