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Awesome-RAG

💡 List of recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM).
🤗 We welcome and encourage researchers to submit pull requests to update information in their papers!
📫 Repo under active development. Collaborations welcome on Framework & Survey. Contact: jiangyijcx@163.com.

📕 Overview

NIPS 2025 EMNLP 2025 ACL 2025 ICML 2025 ICLR 2025
NIPS 2024 EMNLP 2024 ACL 2024 ICML 2024 ICLR 2024

2026.06 2026.05 2026.04 2026.03 2026.02 2026.01

2025.12 2025.11 2025.10 2025.09 2025.08 2025.07
2025.06 2025.05 2025.04 2025.03 2025.02 2025.01

2024.12 2024.11 2024.10 2024.09 2024.08 2024.07
2024.06 2024 .05 2024.04 2024.03 2024.02 2024.01

🗃️ Evaluation Datasets

HotpotQA 2WikiMultiHopQA WebQuestions TriviaQA MuSiQue NaturalQA
SQuAD PopQA ASQA Bamboogle ARC_Challenge PubHealth

📢 Latest News

  • [26.04]: Our CoCoA accepted at ACL2026 Main! 🎉 [Paper][Code]
  • [26.1]: Our ArcAligner released — designed for long memory!🚀 [Code]
  • [26.1]: Our OptiSet released — unified selection and ranking!🚀 [Code]
  • [25.10]: Updated the recent papers from September and October!📅
  • [25.10]: Our QAgent released — an agentic RAG framework!🚀 [Code]
  • [25.08]: Our CoCoA released — studying knowledge synergy!🚀 [Code]
  • [25.06]: We built AgenticRAG-RL — a minimal RL-RAG! Feel free to contribute!🤝
  • [25.05]: Our GainRAG released — studying preference alignment!🚀 [Code]
  • [25.05]: Our GainRAG accepted at ACL2025 Main! 🎉 [Paper][Code]
  • [25.01-05]: Updated the papers from 2025! 📄
  • [24.10]: We built MU-GOT — a PDF parsing tool! Feel free to contribute!🤝
  • [24.06-12]: Updated the papers from 2024! 📄

🎁 Resources

💡Survey

  • [2025.05] A Survey on Knowledge-Oriented Retrieval-Augmented Generation [Link]
  • [2025.01] Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG [Link]
  • [2024.09] Trustworthiness in Retrieval-Augmented Generation Systems: A Survey [Link]
  • [2024.09] Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely [Link]
  • [2024.07] Retrieval-Augmented Generation for Natural Language Processing: A Survey [Link]
  • [2024.05] A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models [Link]
  • [2024.02] Retrieval-Augmented Generation for AI-Generated Content: A Survey [Link]
  • [2023.12] Retrieval-Augmented Generation for Large Language Models: A Survey [Link]

💡Project

🔥Latest Papers

🔥2026 March

🔥2026 February

🔥2026 January

🔥2025 December

🔥2025 November

🔥2025 October

🍭2025 September

🍭2025 August

🍭2025 July

🍭2025 June

🥇ACL 2026

$fingdings$

🥇ACL 2025

$main$

Methods & Pipeline & Framework

Benchmark & Evaluation & Analysis

Chunk & Database

Application

$fingdings$

🍭2025 May

🍭2025 April

🍭2025 March

🍭2025 February

🍭2025 January

🥇ICML 2025

🥇ICLR 2025

🥇NIPS 2024

🍭2024 December

🍭2024 November

🍭2024 October

🍭2024 September

🍭2024 August

🍭2024 July

🍭2024 June

🍭2024 May

🍭2024 April

🍭2024 March

🍭2024 February

🍭2024 January

🥇EMNLP 2024

$main$

$fingdings$

🥇ACL 2024

$main$

$findings$

🥇ICML 2024

🥇ICLR 2024

Star History

Star History Chart

Welcome to communicate with us by email at jiangyijcx@163.com

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💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.

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