mlsanityData to 14 Oct 2026

Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents

arXiv 2604.14220 ↗First posted 14 Apr 2026cs.IR cs.AIcited by 0

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

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Abstract (arXiv)

This research paper addresses the limitations of semantic search in complex enterprise document ecosystems. Traditional RAG pipelines often fail to capture hierarchical and interconnected information, leading to retrieval inaccuracies. We propose Agentic Knowledge Graphs featuring Recursive Crawling as a robust solution for navigating superseding logic and multi-hop references. Our benchmark evaluation using the Code of Federal Regulations (CFR) demonstrates that this Knowledge Graph-enhanced approach achieves a 70% accuracy improvement over standard vector-based RAG systems, providing exhaustive and precise answers for complex regulatory queries.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Knowledge-graph and structured-knowledge RAG, one of 15 directions in Retrieval-augmented generation. Builds on 2 of its 6 references that are in the map. First posted on arXiv 14 Apr 2026.

Builds on

2 of 6 references.

References · 2

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 668

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  1. 2026VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge
  2. 2026AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
  3. 2026SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains
  4. 2026SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
  5. 2026Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering
  6. 2025Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems
  7. 2025Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications
  8. 2026RAGA: Reading-And-Graph-building-Agent for Autonomous Knowledge Graph Construction and Retrieval-Augmented Generation