Cover Image

METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ray, Siddhant, Pan, Rui, Gu, Zhuohan, Du, Kuntai, Feng, Shaoting, Ananthanarayanan, Ganesh, Netravali, Ravi, Jiang, Junchen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving
by: Feng, Shaoting, et al.
Published: (2025)

OneAdapt: Fast Configuration Adaptation for Video Analytics Applications via Backpropagation
by: Du, Kuntai, et al.
Published: (2023)

LLMSteer: Improving Long-Context LLM Inference by Steering Attention on Reused Contexts
by: Gu, Zhuohan, et al.
Published: (2024)

CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
by: Yao, Jiayi, et al.
Published: (2024)

EVICPRESS: Joint KV-Cache Compression and Eviction for Efficient LLM Serving
by: Feng, Shaoting, et al.
Published: (2025)

Eloquent: A More Robust Transmission Scheme for LLM Token Streaming
by: Li, Hanchen, et al.
Published: (2024)

Kairos: A Scalable Serving System for Physical AI
by: Dai, Yinwei, et al.
Published: (2026)

A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation
by: Simon, Sebastian, et al.
Published: (2024)

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
by: Liu, Yuhan, et al.
Published: (2023)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems
by: Jiang, Xinke, et al.
Published: (2024)

Practical RAG Evaluation: A Rarity-Aware Set-Based Metric and Cost-Latency-Quality Trade-offs
by: Dallaire, Etienne
Published: (2025)

Collaborative Group-Aware Hashing for Fast Recommender Systems
by: Zhang, Yan, et al.
Published: (2025)

RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance
by: Jiang, Hengjun, et al.
Published: (2026)

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

DMQR-RAG: Diverse Multi-Query Rewriting for RAG
by: Li, Zhicong, et al.
Published: (2024)

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
by: Fu, Junchen, et al.
Published: (2025)

FastInsight: Fast and Insightful Retrieval via Fusion Operators for Graph RAG
by: An, Seonho, et al.
Published: (2026)

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
by: Bolognesi, Giorgia, et al.
Published: (2026)

A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining
by: Ravi, Mudavath, et al.
Published: (2025)

Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model
by: Ganesh, Sai, et al.
Published: (2024)

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

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
by: Li, Hongji, et al.
Published: (2025)

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

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
by: Tan, Jiejun, et al.
Published: (2024)

Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
by: Hu, Hao, et al.
Published: (2025)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
by: Xia, Yu, et al.
Published: (2025)

Argo: Efficient Importance Labeling for Enterprise Email Systems
by: Ray, Siddhant, et al.
Published: (2026)

LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG
by: Yue, Xiao, et al.
Published: (2026)

Drift-Aware Continual Tokenization for Generative Recommendation
by: Feng, Yuebo, et al.
Published: (2026)

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems
by: Fan, Dongzhe, et al.
Published: (2026)

Trust or Abstain? A Self-Aware RAG Approach
by: Zhu, Xi, et al.
Published: (2026)

OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
by: Feng, Hui, 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)

REAPER: Reasoning based Retrieval Planning for Complex RAG Systems
by: Joshi, Ashutosh, et al.
Published: (2024)

Towards End-to-End Model-Agnostic Explanations for RAG Systems
by: Sudhi, Viju, et al.
Published: (2025)

EncouRAGe: Evaluating RAG Local, Fast, and Reliable
by: Strich, Jan, et al.
Published: (2025)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
by: Gu, Hao, et al.
Published: (2025)

Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation
by: Du, Y.
Published: (2025)

An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
by: Li, Youhua, et al.
Published: (2024)