BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents

Summary: BookRAG targets RAG over hierarchical documents with BookIndex, a TOC-like tree augmented by an entity-relation graph and node mappings. An information-foraging-inspired agent adaptively routes queries, improving retrieval recall and QA accuracy at competitive efficiency. (summarized by gpt-5.6-luna on Aug 17 2026)

Paper ID: h2f91e5af38c29f6a
Venue: VLDB
Year: 2026
Pagerank: 4.9769913e-05
Overall Rank: 10,801 | 27.41%
DOI: 10.14778/3819518.3819556
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Shu Wang (Chinese University of Hong Kong)
2. Yingli Zhou (Chinese University of Hong Kong)
3. Yixiang Fang (Chinese University of Hong Kong)

BibTeX Citation

@article{wang_vldb26,
        title = {{BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents}},
        author = {Wang, Shu and Zhou, Yingli and Fang, Yixiang},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {9},
        pages = {2358--2371},
        doi = {10.14778/3819518.3819556},
        url = {https://doi.org/10.14778/3819518.3819556},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,038	Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities	2026	VLDB	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
329	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00020867521
496	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes	2024	VLDB	0.00017318538
658	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	0.00015058738
2,037	LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency	2025	VLDB	9.1494269e-05
2,909	Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS	2025	VLDB	7.8705905e-05
3,467	In-depth Analysis of Graph-based RAG in a Unified Framework	2025	VLDB	7.2749538e-05
3,967	RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes	2024	VLDB	6.887577e-05
4,013	LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration	2025	VLDB	6.8518465e-05
4,133	AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries	2025	CIDR	6.7850201e-05
4,384	R-Bot: An LLM-based Query Rewrite System	2025	VLDB	6.6232918e-05
5,851	HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation	2023	SIGMOD	5.9692535e-05
6,874	Doctopus: Budget-aware Structural Table Extraction from Unstructured Documents	2025	VLDB	5.6572257e-05
7,819	Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations	2024	SIGMOD	5.4460313e-05
7,933	TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations	2025	VLDB	5.4228804e-05
8,297	ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines	2026	VLDB	5.3587491e-05

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