mlsanityData to 7 Oct 2026

Knowledge Graph-Guided Retrieval Augmented Generation

arXiv 2502.06864 ↗First posted 8 Feb 2025cs.CL cs.AIcited by 57

On the map: Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG

Abstract (arXiv)

Retrieval-augmented generation (RAG) has emerged as a promising technology for addressing hallucination issues in the responses generated by large language models (LLMs). Existing studies on RAG primarily focus on applying semantic-based approaches to retrieve isolated relevant chunks, which ignore their intrinsic relationships. In this paper, we propose a novel Knowledge Graph-Guided Retrieval Augmented Generation (KG2RAG) framework that utilizes knowledge graphs (KGs) to provide fact-level relationships between chunks, improving the diversity and coherence of the retrieved results. Specifically, after performing a semantic-based retrieval to provide seed chunks, KG2RAG employs a KG-guided chunk expansion process and a KG-based chunk organization process to deliver relevant and important knowledge in well-organized paragraphs. Extensive experiments conducted on the HotpotQA dataset and its variants demonstrate the advantages of KG2RAG compared to existing RAG-based approaches, in terms of both response quality and retrieval quality.

Key facts. Cited by 57 papers in the map (data through 7 Oct 2026). Placed in Knowledge-graph and structured-knowledge RAG, one of 15 directions in Retrieval-augmented generation. Builds on 22 of its 44 references that are in the map. First posted on arXiv 8 Feb 2025.

Builds on

22 of 44 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering26 Apr
  2. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarization24 Apr

Other references · 20

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  5. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  6. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,383
  7. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,895
  8. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  9. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  10. 2018The Web as a Knowledge-base for Answering Complex Questionscited by 409
  11. 2024Nomic Embed: Training a Reproducible Long Context Text Embeddercited by 255
  12. 2023Knowledge Graph Prompting for Multi-Document Question Answeringcited by 150
8 more
  1. 2024A Survey of Large Language Models for Graphscited by 71
  2. 2023A Practical Survey on Zero-shot Prompt Design for In-context Learningcited by 49
  3. 2024Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completioncited by 40
  4. 2023Injecting the BM25 Score as Text Improves BERT-Based Re-rankerscited by 17
  5. 2023Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interfacecited by 11
  6. 2023Improving Continual Relation Extraction by Distinguishing Analogous Semanticscited by 9
  7. 2023Generating Explanations to Understand and Repair Embedding-based Entity Alignmentcited by 5
  8. 2024A Survey of Generative Information Retrievalcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 16; 2026: 41.

57 papers.

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  1. 2026SYNAPSE: Empowering LLM Agents with Episodic-Semantic Memory via Spreading Activationcited by 11
  2. 2025mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQAcited by 10
  3. 2025GraphCompliance: Aligning Policy and Context Graphs for LLM-Based Regulatory Compliancecited by 9
  4. 2025Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learningcited by 5
  5. 2025KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphscited by 4
  6. 2025OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Predictioncited by 4
  7. 2025Exposing Privacy Risks in Graph Retrieval-Augmented Generationcited by 4
  8. 2025Metadata-Driven Retrieval-Augmented Generation for Financial Question Answeringcited by 4
  9. 2025DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generationcited by 3
  10. 2025Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applicationscited by 3
  11. 2025SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answeringcited by 3
  12. 2026Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systemscited by 3
38 more
  1. 2026OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistantscited by 3
  2. 2026Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic Retrievalcited by 3
  3. 2026Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMscited by 3
  4. 2025Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrievalcited by 2
  5. 2025Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layerscited by 2
  6. 2025IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injectioncited by 2
  7. 2026Making Theft Useless: Adulteration-Based Protection of Proprietary Knowledge Graphs in GraphRAG Systemscited by 2
  8. 2026Embodied Task Planning via Graph-Informed Action Generation with Large Language Modelscited by 2
  9. 2026Evaluating Relational Reasoning in LLMs with RELcited by 2
  10. 2026Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Modelscited by 2
  11. 2025KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenancecited by 1
  12. 2025Toward an AI-Native Internet: Rethinking the Web Architecture for Semantic Retrievalcited by 1
  13. 2026Disco-RAG: Discourse-Aware Retrieval-Augmented Generationcited by 1
  14. 2026Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignmentcited by 1
  15. 2026GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generationcited by 1
  16. 2026LLM-Oriented Information Retrieval: A Denoising-First Perspectivecited by 1
  17. 2026CYGNET: Cypher Gate for Neural Execution Triage and Cost Containmentcited by 1
  18. 2026R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Videocited by 1
  19. 2025Rationale-Augmented Retrieval with Constrained LLM Re-Ranking for Task Discoverycited by 0
  20. 2026GraFine: Retrieval-Time Refinement for Efficient Graph RAG over Corpus Graphscited by 0
  21. 2026Understand Then Memory: A Cognitive Gist-Driven RAG Framework with Global Semantic Diffusioncited by 0
  22. 2026Explainable Innovation Engine: Dual-Tree Agent-RAG with Methods-as-Nodes and Verifiable Write-Backcited by 0
  23. 2026FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoningcited by 0
  24. 2026Text-Graph Synergy: A Bidirectional Verification and Completion Framework for RAGcited by 0
  25. 2026KoRe: Compact Knowledge Representations for Large Language Modelscited by 0
  26. 2026SeedER: Seed-Expand-Retrieve for Efficient Knowledge Graph Retrievalcited by 0
  27. 2026DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analyticscited by 0
  28. 2026DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrievalcited by 0
  29. 2026Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form Text Understandingcited by 0
  30. 2026Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphscited by 0
  31. 2026Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classificationcited by 0
  32. 2026GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methodscited by 0
  33. 2026HyCE-RAG: Hypergraph Chain-of-Evidence Retrieval-Augmented Generation for Explainable Multi-hop Question Answeringcited by 0
  34. 2026Integrated Multimodal AI System for Retrieval-Augmented Reasoning, Object Sensing, and Damage Analysiscited by 0
  35. 2026TRACE: Trustworthy Retrieval-Augmented Conversational Enginecited by 0
  36. 2026EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrievalcited by 0
  37. 2026FashionKG-RAG: Knowledge Graph-Enhanced Retrieval-Augmented Generation for Fashion Question Answeringcited by 0
  38. 2026Propagating construction-time knowledge quality into medical question answering: A framework grounded in clinical guidelinescited by 0

50 most cited of 57 All 57 (JSON)

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  1. 2025A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
  2. 2024Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
  3. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
  4. 2024Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
  5. 2025Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
  6. 2024CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity
  7. 2025Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
  8. 2025A Survey on Knowledge-Oriented Retrieval-Augmented Generation