Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jiajing, Bao, Runyuan, Zheng, Hongye, Qi, Zhen, Wei, Jianjun, Hu, Jiacheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025)
by: Kim, Sejong, et al.
Published: (2025)
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
by: Ye, Linhao, et al.
Published: (2025)
by: Ye, Linhao, et al.
Published: (2025)
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
by: Dong, Yuxin, et al.
Published: (2024)
by: Dong, Yuxin, et al.
Published: (2024)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)
by: Sun, Yushi, et al.
Published: (2025)
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering
by: Besrour, Ines, et al.
Published: (2025)
by: Besrour, Ines, et al.
Published: (2025)
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)
by: Chen, Zhongwu, et al.
Published: (2024)
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
by: Kaiser, Magdalena, et al.
Published: (2025)
by: Kaiser, Magdalena, et al.
Published: (2025)
Vietnamese Legal Information Retrieval in Question-Answering System
by: Ba, Thiem Nguyen, et al.
Published: (2024)
by: Ba, Thiem Nguyen, et al.
Published: (2024)
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
by: Ngo, Nghia Trung, et al.
Published: (2024)
by: Ngo, Nghia Trung, et al.
Published: (2024)
SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
by: Yu, Rui, et al.
Published: (2026)
by: Yu, Rui, et al.
Published: (2026)
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation
by: Besrour, Ines, et al.
Published: (2025)
by: Besrour, Ines, et al.
Published: (2025)
MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: Liu, Lihui, et al.
Published: (2025)
by: Liu, Lihui, et al.
Published: (2025)
Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)
by: Sharma, Sanat, et al.
Published: (2024)
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions
by: Yang, Lixiao, et al.
Published: (2024)
by: Yang, Lixiao, et al.
Published: (2024)
Answer Retrieval in Legal Community Question Answering
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
by: Lin, Teng, et al.
Published: (2025)
by: Lin, Teng, et al.
Published: (2025)
RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
by: Qian, Deniz, et al.
Published: (2026)
by: Qian, Deniz, et al.
Published: (2026)
Corpus-informed Retrieval Augmented Generation of Clarifying Questions
by: Krasakis, Antonios Minas, et al.
Published: (2024)
by: Krasakis, Antonios Minas, et al.
Published: (2024)
Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
by: Dadopoulos, Michail, et al.
Published: (2025)
by: Dadopoulos, Michail, et al.
Published: (2025)
Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)
by: Dong, Kuicai, et al.
Published: (2025)
Role-Augmented Intent-Driven Generative Search Engine Optimization
by: Chen, Xiaolu, et al.
Published: (2025)
by: Chen, Xiaolu, et al.
Published: (2025)
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)
by: Zhang, Xiaoming, et al.
Published: (2024)
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)
by: Stuhlmann, Linus, et al.
Published: (2025)
Evaluating the Retrieval Component in LLM-Based Question Answering Systems
by: Alinejad, Ashkan, et al.
Published: (2024)
by: Alinejad, Ashkan, et al.
Published: (2024)
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
by: Xu, Zhentao, et al.
Published: (2024)
by: Xu, Zhentao, et al.
Published: (2024)
RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments
by: Ding, Shiyi, et al.
Published: (2025)
by: Ding, Shiyi, et al.
Published: (2025)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
by: Lupart, Simon, et al.
Published: (2025)
by: Lupart, Simon, et al.
Published: (2025)
MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)
by: Kwon, Daeyong, et al.
Published: (2025)
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
by: Wang, Mengzhao, et al.
Published: (2024)
by: Wang, Mengzhao, et al.
Published: (2024)
Self-MedRAG: a Self-Reflective Hybrid Retrieval-Augmented Generation Framework for Reliable Medical Question Answering
by: Ryan, Jessica, et al.
Published: (2026)
by: Ryan, Jessica, et al.
Published: (2026)
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)
by: Siriwardhana, Shamane, et al.
Published: (2022)
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
by: Long, Xinwei, et al.
Published: (2025)
by: Long, Xinwei, et al.
Published: (2025)
Entity Retrieval for Answering Entity-Centric Questions
by: Shavarani, Hassan S., et al.
Published: (2024)
by: Shavarani, Hassan S., et al.
Published: (2024)
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)
by: Zerhoudi, Saber, et al.
Published: (2024)
Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing
by: Liu, Bingyao, et al.
Published: (2024)
by: Liu, Bingyao, 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)
Similar Items
-
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025) -
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
by: Ye, Linhao, et al.
Published: (2025) -
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
by: Dong, Yuxin, et al.
Published: (2024) -
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024) -
KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)