Image de couverture de livre

The Chronicles of RAG: The Retriever, the Chunk and the Generator

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Finardi, Paulo, Avila, Leonardo, Castaldoni, Rodrigo, Gengo, Pedro, Larcher, Celio, Piau, Marcos, Costa, Pablo, Caridá, Vinicius
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computation and Language Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
par: Júnior, Paulo Roberto de Moura, et autres
Publié: (2026)

ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language
par: Piau, Marcos, et autres
Publié: (2024)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
par: Zhang, Xuechen, et autres
Publié: (2025)

Chunking, Retrieval, and Re-ranking: An Empirical Evaluation of RAG Architectures for Policy Document Question Answering
par: Maharjan, Anuj, et autres
Publié: (2026)

Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
par: Stankovic, Mile
Publié: (2025)

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
par: Merola, Carlo, et autres
Publié: (2025)

Grounding Language Model with Chunking-Free In-Context Retrieval
par: Qian, Hongjin, et autres
Publié: (2024)

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
par: Sawarkar, Kunal, et autres
Publié: (2024)

Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
par: Chen, Huiyao, et autres
Publié: (2025)

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
par: Luo, Linhao, et autres
Publié: (2025)

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
par: Singh, Aditi, et autres
Publié: (2025)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
par: Bai, Yu, et autres
Publié: (2024)

VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
par: Huwiler, Daniel, et autres
Publié: (2025)

DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
par: Liang, Penghao, et autres
Publié: (2026)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
par: Kim, To Eun, et autres
Publié: (2024)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
par: Wang, Zhao, et autres
Publié: (2026)

PersianRAG: A Retrieval-Augmented Generation System for Persian Language
par: Hosseini, Hossein, et autres
Publié: (2024)

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
par: Kang, Mintong, et autres
Publié: (2024)

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
par: Guttal, Pooja, et autres
Publié: (2026)

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
par: Nkhata, Gibson, et autres
Publié: (2026)

Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm
par: Li, Zihang, et autres
Publié: (2026)

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
par: Chen, Boyu, et autres
Publié: (2025)

Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment
par: Medrano, Luigi, et autres
Publié: (2026)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
par: Cheng, Xin, et autres
Publié: (2024)

ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking
par: Ciancone, Mathieu, et autres
Publié: (2025)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
par: Chen, Zhongwu, et autres
Publié: (2024)

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
par: Jin, Zhuoran, et autres
Publié: (2024)

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
par: Yang, Diji, et autres
Publié: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
par: Muhamed, Aashiq, et autres
Publié: (2025)

ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
par: Gumaan, Esmail
Publié: (2025)

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG
par: Bachyr, Omar El, et autres
Publié: (2026)

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
par: Zhao, Xuejiao, et autres
Publié: (2025)

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation
par: Brehme, Lorenz, et autres
Publié: (2026)

Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
par: Pradeep, Ronak, et autres
Publié: (2024)

RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
par: Guo, Yucan, et autres
Publié: (2025)

A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions
par: Gupta, Shailja, et autres
Publié: (2024)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
par: Siriwardhana, Shamane, et autres
Publié: (2022)

Toward General Semantic Chunking: A Discriminative Framework for Ultra-Long Documents
par: Wu, Kaifeng, et autres
Publié: (2025)

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
par: Zhang, Yilin, et autres
Publié: (2025)

CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
par: Keerthana, Garapati, et autres
Publié: (2025)