Orchestrating Specialized Agents for Trustworthy Enterprise RAG
Fuente:
arXiv
Saved in:
| Main Authors: | You, Xincheng, Sun, Qi, Bora, Neha, Li, Huayi, Goel, Shubham, Li, Kang, Culatana, Sean |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trust Me on This: A User Study of Trustworthiness for RAG Responses
by: Łajewska, Weronika, et al.
Published: (2026)
by: Łajewska, Weronika, et al.
Published: (2026)
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
Towards Trustworthy Multimodal Recommendation
by: Li, Zixuan
Published: (2026)
by: Li, Zixuan
Published: (2026)
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
by: Suresh, Susheel, et al.
Published: (2026)
by: Suresh, Susheel, et al.
Published: (2026)
Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
by: Sun, Yiqun, et al.
Published: (2026)
by: Sun, Yiqun, et al.
Published: (2026)
PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications
by: Syarubany, Abu Hanif Muhammad, et al.
Published: (2025)
by: Syarubany, Abu Hanif Muhammad, et al.
Published: (2025)
Causal Learning for Trustworthy Recommender Systems: A Survey
by: Li, Jin, et al.
Published: (2024)
by: Li, Jin, et al.
Published: (2024)
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise
by: Ahmad, Syed Rameel
Published: (2024)
by: Ahmad, Syed Rameel
Published: (2024)
A Survey on Trustworthy Recommender Systems
by: Ge, Yingqiang, et al.
Published: (2022)
by: Ge, Yingqiang, et al.
Published: (2022)
Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents
by: Chakraborty, Koushik, et al.
Published: (2026)
by: Chakraborty, Koushik, et al.
Published: (2026)
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights
by: Han, Haoyu, et al.
Published: (2025)
by: Han, Haoyu, et al.
Published: (2025)
Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
by: Zhang, Dake, et al.
Published: (2026)
by: Zhang, Dake, et al.
Published: (2026)
Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation
by: Jiao, Shuguang, et al.
Published: (2026)
by: Jiao, Shuguang, et al.
Published: (2026)
Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
by: Dong, Junnan, et al.
Published: (2025)
by: Dong, Junnan, et al.
Published: (2025)
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents
by: Yun, Yuhui, et al.
Published: (2025)
by: Yun, Yuhui, et al.
Published: (2025)
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
by: de Lima, Rafael Teixeira, et al.
Published: (2024)
by: de Lima, Rafael Teixeira, et al.
Published: (2024)
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design Perspective
by: Packowski, Sarah, et al.
Published: (2024)
by: Packowski, Sarah, et al.
Published: (2024)
M-RAG: Making RAG Faster, Stronger, and More Efficient
by: Xu, Sun, et al.
Published: (2026)
by: Xu, Sun, et al.
Published: (2026)
Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
by: Zhou, Yuxiang, et al.
Published: (2025)
by: Zhou, Yuxiang, et al.
Published: (2025)
IGMiRAG: Intuition-Guided Retrieval-Augmented Generation with Adaptive Mining of In-Depth Memory
by: Hou, Xingliang, et al.
Published: (2026)
by: Hou, Xingliang, et al.
Published: (2026)
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
by: Zerhoudi, Saber, et al.
Published: (2024)
by: Zerhoudi, Saber, et al.
Published: (2024)
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
What Should I Cite? A RAG Benchmark for Academic Citation Prediction
by: Zheng, Leqi, et al.
Published: (2026)
by: Zheng, Leqi, et al.
Published: (2026)
Entities as Retrieval Signals: A Systematic Study of Coverage, Supervision, and Evaluation in Entity-Oriented Ranking
by: Chatterjee, Shubham
Published: (2026)
by: Chatterjee, Shubham
Published: (2026)
Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability
by: B, Gautam, et al.
Published: (2024)
by: B, Gautam, et al.
Published: (2024)
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)
by: Zhang, Kepu, et al.
Published: (2025)
RAG without Forgetting: Continual Query-Infused Key Memory
by: Hu, Yuntong, et al.
Published: (2026)
by: Hu, Yuntong, et al.
Published: (2026)
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)
by: Chen, Yuxuan, et al.
Published: (2025)
Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
by: Yuan, Haonan, et al.
Published: (2026)
by: Yuan, Haonan, et al.
Published: (2026)
AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation
by: Zhou, Yangtao, et al.
Published: (2026)
by: Zhou, Yangtao, et al.
Published: (2026)
LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
by: Chandra, Manish, et al.
Published: (2026)
by: Chandra, Manish, et al.
Published: (2026)
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation
by: Liu, Ziwei, et al.
Published: (2024)
by: Liu, Ziwei, et al.
Published: (2024)
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
by: Ran, Kun, et al.
Published: (2025)
by: Ran, Kun, et al.
Published: (2025)
Structured Linked Data as a Memory Layer for Agent-Orchestrated Retrieval
by: Volpini, Andrea, et al.
Published: (2026)
by: Volpini, Andrea, et al.
Published: (2026)
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
by: Xia, Yu, et al.
Published: (2025)
by: Xia, Yu, et al.
Published: (2025)
MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
by: Nguyen, Thong, et al.
Published: (2024)
by: Nguyen, Thong, et al.
Published: (2024)
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)
by: Jiang, Xinke, et al.
Published: (2024)
WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web
by: Zhao, Zihuai, et al.
Published: (2025)
by: Zhao, Zihuai, et al.
Published: (2025)
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
Similar Items
-
Trust Me on This: A User Study of Trustworthiness for RAG Responses
by: Łajewska, Weronika, et al.
Published: (2026) -
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025) -
Towards Trustworthy Multimodal Recommendation
by: Li, Zixuan
Published: (2026) -
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
by: Suresh, Susheel, et al.
Published: (2026) -
Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
by: Sun, Yiqun, et al.
Published: (2026)