mlsanityData to 14 Oct 2026

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation

arXiv 2502.12442 ↗First posted 18 Feb 2025cs.IR cs.CLcited by 24

On the map: LLM reasoning → Knowledge- and tool-augmented reasoning

also in 1 more
Abstract (arXiv)

Retrieval-Augmented Generation (RAG) systems often struggle with imperfect retrieval, as traditional retrievers focus on lexical or semantic similarity rather than logical relevance. To address this, we propose HopRAG, a novel RAG framework that augments retrieval with logical reasoning through graph-structured knowledge exploration. During indexing, HopRAG constructs a passage graph, with text chunks as vertices and logical connections established via LLM-generated pseudo-queries as edges. During retrieval, it employs a textitretrieve-reason-prune mechanism: starting with lexically or semantically similar passages, the system explores multi-hop neighbors guided by pseudo-queries and LLM reasoning to identify truly relevant ones. Experiments on multiple multi-hop benchmarks demonstrate that HopRAG's textitretrieve-reason-prune mechanism can expand the retrieval scope based on logical connections and improve final answer quality.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Placed in Knowledge- and tool-augmented reasoning, one of 17 directions in LLM reasoning. Builds on 28 of its 47 references that are in the map. First posted on arXiv 18 Feb 2025.

Builds on

28 of 47 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024SiReRAG: Indexing Similar and Related Information for Multihop Reasoning9 Dec
  2. 2024GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning30 May

Other references · 26

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
  3. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
  4. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,141
  5. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,839
  6. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,453
  7. 2020Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Stepscited by 1,282
  8. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,210
  9. 2022Atlas: Few-shot Learning with Retrieval Augmented Language Modelscited by 952
  10. 2023In-Context Retrieval-Augmented Language Modelscited by 702
  11. 2019Passage Re-ranking with BERTcited by 645
  12. 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalcited by 532
14 more
  1. 2024Retrieval-Augmented Generation for AI-Generated Content: A Surveycited by 354
  2. 2024BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrievalcited by 158
  3. 2024Certifiably Robust RAG against Retrieval Corruptioncited by 151
  4. 2024jina-embeddings-v3: Multilingual Embeddings With Task LoRAcited by 141
  5. 2023Walking Down the Memory Maze: Beyond Context Limit through Interactive Readingcited by 133
  6. 2019Multi-hop Reading Comprehension through Question Decomposition and Rescoringcited by 119
  7. 2020Entities as Experts: Sparse Memory Access with Entity Supervisioncited by 100
  8. 2024Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrieverscited by 84
  9. 2024Scaling Retrieval-Based Language Models with a Trillion-Token Datastorecited by 56
  10. 2023Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generationcited by 54
  11. 2025SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Modelcited by 32
  12. 2024T-RAG: Lessons from the LLM Trenchescited by 23
  13. 2024Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learningcited by 13
  14. 2024Graph Neural Network Enhanced Retrieval for Question Answering of LLMscited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 12; 2026: 12.

24 papers.

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  1. 2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Modelscited by 384
  2. 2025Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solvingcited by 94
  3. 2025RARE: Retrieval-Augmented Reasoning Modelingcited by 11
  4. 2025Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?cited by 8
  5. 2026Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientistscited by 6
  6. 2025Dynamic Context Adaptation for Consistent Role-Playing Agents with Retrieval-Augmented Generationscited by 4
  7. 2025Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metricscited by 4
  8. 2025Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Studycited by 3
  9. 2025StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answeringcited by 3
  10. 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layerscited by 2
  11. 2026PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answeringcited by 2
  12. 2026Track, Rank, Crack: Epistemic Working Memory Scales Multi-Hop Reasoning in Language Agentscited by 2
12 more
  1. 2025RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrievalcited by 1
  2. 2025Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex Domainscited by 1
  3. 2026S3-Attention:Attention-Aligned Endogenous Retrieval for Memory-Bounded Long-Context Inferencecited by 1
  4. 2026A Human-in-the-Loop, LLM-Centered Architecture for Knowledge-Graph Question Answeringcited by 1
  5. 2026CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answeringcited by 1
  6. 2026DOTRAG: Retrieval-Time Reasoning Along Pathscited by 1
  7. 2026SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgescited by 1
  8. 2026CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Trapscited by 1
  9. 2025Harmonia: End-to-End RAG Serving Optimizationcited by 0
  10. 2026AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interactioncited by 0
  11. 2026TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluationcited by 0
  12. 2026SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedgescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
  2. 2026Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
  3. 2025Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG
  4. 2024Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
  5. 2025FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
  6. 2025Query-Centric Graph Retrieval Augmented Generation
  7. 2025LIR3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation
  8. 2026MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG