Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model
Fuente:
arXiv
Saved in:
| Main Authors: | Al-Maliki, Shawqi, Gharaibeh, Ammar, Rahouti, Mohamed, Amin, Mohammad Ruhul, Abdallah, Mohamed, Qadir, Junaid, Al-Fuqaha, Ala |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation
by: Al-Maliki, Shawqi, et al.
Published: (2022)
by: Al-Maliki, Shawqi, et al.
Published: (2022)
A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness
by: Machlovi, Naseem, et al.
Published: (2025)
by: Machlovi, Naseem, et al.
Published: (2025)
Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content
by: Mushtaq, Abdullah, et al.
Published: (2025)
by: Mushtaq, Abdullah, et al.
Published: (2025)
Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
by: Guttal, Pooja, et al.
Published: (2026)
by: Guttal, Pooja, et al.
Published: (2026)
XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation
by: Mohamed, Youssef, et al.
Published: (2026)
by: Mohamed, Youssef, et al.
Published: (2026)
Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
by: Mortezaagha, Pouria, et al.
Published: (2026)
by: Mortezaagha, Pouria, et al.
Published: (2026)
Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
by: Gong, Shengbo, et al.
Published: (2025)
by: Gong, Shengbo, et al.
Published: (2025)
Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents
by: Taiwo, Samuel, et al.
Published: (2026)
by: Taiwo, Samuel, et al.
Published: (2026)
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)
by: Stankovic, Mile
Published: (2025)
Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
by: Allu, Uday, et al.
Published: (2026)
by: Allu, Uday, et al.
Published: (2026)
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
by: Basem, Mohamed, et al.
Published: (2024)
by: Basem, Mohamed, et al.
Published: (2024)
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
by: Merola, Carlo, et al.
Published: (2025)
by: Merola, Carlo, et al.
Published: (2025)
Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval
by: Zhou, Yongjie, et al.
Published: (2026)
by: Zhou, Yongjie, et al.
Published: (2026)
Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion
by: Rastogi, Mudit
Published: (2026)
by: Rastogi, Mudit
Published: (2026)
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
Constrained Auto-Regressive Decoding Constrains Generative Retrieval
by: Wu, Shiguang, et al.
Published: (2025)
by: Wu, Shiguang, et al.
Published: (2025)
MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2026)
by: Abdallah, Abdelrahman, et al.
Published: (2026)
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
by: Hameed, Saad, et al.
Published: (2025)
by: Hameed, Saad, et al.
Published: (2025)
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)
by: Kabir, Muhammad Rafsan, et al.
Published: (2025)
HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval
by: Abdalla, Mahmoud, et al.
Published: (2026)
by: Abdalla, Mahmoud, et al.
Published: (2026)
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
by: Hemmat, Arshia, et al.
Published: (2024)
by: Hemmat, Arshia, et al.
Published: (2024)
Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis
by: Bhat, Sinchana Ramakanth, et al.
Published: (2025)
by: Bhat, Sinchana Ramakanth, et al.
Published: (2025)
The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)
by: Finardi, Paulo, et al.
Published: (2024)
Context Awareness Gate For Retrieval Augmented Generation
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain
by: Amirshahi, Shakiba, et al.
Published: (2025)
by: Amirshahi, Shakiba, et al.
Published: (2025)
Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)
by: Tian, Fangzheng, et al.
Published: (2026)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
by: Hsu, Hsin-Ling, et al.
Published: (2025)
by: Hsu, Hsin-Ling, et al.
Published: (2025)
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
by: Yang, Eugene, et al.
Published: (2026)
by: Yang, Eugene, et al.
Published: (2026)
Unsupervised Query Routing for Retrieval Augmented Generation
by: Mu, Feiteng, et al.
Published: (2025)
by: Mu, Feiteng, et al.
Published: (2025)
Retrieval Augmented Generation Evaluation for Health Documents
by: Ceresa, Mario, et al.
Published: (2025)
by: Ceresa, Mario, et al.
Published: (2025)
Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
by: Kim, Jisu, et al.
Published: (2025)
by: Kim, Jisu, et al.
Published: (2025)
Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)
by: Bevara, Ravi, et al.
Published: (2025)
Negative Sampling Techniques in Information Retrieval: A Survey
by: Wischounig, Laurin, et al.
Published: (2026)
by: Wischounig, Laurin, et al.
Published: (2026)
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers
by: Arabzadeh, Negar, et al.
Published: (2024)
by: Arabzadeh, Negar, et al.
Published: (2024)
Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
by: Zhao, Yingqi, et al.
Published: (2026)
by: Zhao, Yingqi, et al.
Published: (2026)
KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali Farmers
by: Ameen, Mohd Ruhul, et al.
Published: (2025)
by: Ameen, Mohd Ruhul, et al.
Published: (2025)
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
by: Amiri, Mahmoud, et al.
Published: (2025)
by: Amiri, Mahmoud, et al.
Published: (2025)
Similar Items
-
Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation
by: Al-Maliki, Shawqi, et al.
Published: (2022) -
A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness
by: Machlovi, Naseem, et al.
Published: (2025) -
Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content
by: Mushtaq, Abdullah, et al.
Published: (2025) -
Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
by: Guttal, Pooja, et al.
Published: (2026) -
XProvence: Zero-Cost Multilingual Context Pruning for Retrieval-Augmented Generation
by: Mohamed, Youssef, et al.
Published: (2026)