Cover Image

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Fangyuan, Huang, Zhengjun, Zhou, Yingli, Guo, Qintian, Li, Zhixun, Luo, Wensheng, Jiang, Di, Fang, Yixiang, Zhou, Xiaofang
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning
by: Huang, Zhengjun, et al.
Published: (2025)

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

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

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

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation
by: Lau, Kwun Hang, et al.
Published: (2026)

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
by: Yeo, Woongyeong, et al.
Published: (2025)

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications
by: Zhou, Yingli, et al.
Published: (2026)

Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)

Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)

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

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

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

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks
by: Su, Jinyan, et al.
Published: (2024)

PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)

In-depth Analysis of Graph-based RAG in a Unified Framework
by: Zhou, Yingli, et al.
Published: (2025)

P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
by: Xu, Weiye, et al.
Published: (2024)

OmniBench-RAG: A Multi-Domain Evaluation Platform for Retrieval-Augmented Generation Tools
by: Liang, Jiaxuan, et al.
Published: (2025)

Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)

RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
by: Jin, Jiajie, et al.
Published: (2024)

Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)

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

Replication and Exploration of Generative Retrieval over Dynamic Corpora
by: Zhang, Zhen, et al.
Published: (2025)

Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
by: Dong, Junnan, et al.
Published: (2025)

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework
by: Wu, Yanchen, et al.
Published: (2026)

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
by: Luo, Linhao, et al.
Published: (2025)

PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
by: Khaledian, Arman, et al.
Published: (2025)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)

Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)

Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
by: Agrawal, Garima, et al.
Published: (2024)

Exploring the Practicality of Generative Retrieval on Dynamic Corpora
by: Kim, Chaeeun, et al.
Published: (2023)

The Cross-Lingual Cost: Retrieval Biases in RAG over Arabic-English Corpora
by: Amiraz, Chen, et al.
Published: (2025)

Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework
by: Wang, Tao, et al.
Published: (2025)