一份精心策划的 Agentic RAG 资源列表,涵盖检索增强生成(RAG)从基础范式到前沿 Agentic RAG 的核心论文与开源项目。
中文综述参见:检索增强生成 (RAG) 技术综述 - Yue Shui
- Survey (综述)
- RAG Foundations (RAG 基础)
- Advanced & Modular RAG (高级与模块化 RAG)
- Core Retrieval (核心检索技术)
- Agentic RAG (智能体 RAG)
- GraphRAG (图 RAG)
- Multimodal RAG (多模态 RAG)
- Evaluation (评估)
- Applications (应用)
- Contributing
- License
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2025-07 | Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs | Paper | - | Li et al. 统一 RAG 与推理,系统梳理检索-推理融合方法、数据集与前沿框架 |
| 2025-06 | Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic RAG for Industry Challenges | Paper | - | Liang et al. 将 Agentic RAG 分为 System 1(预定义推理)与 System 2(自主代理推理) |
| 2025-03 | Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning | Paper | - | 用 RL 训练 LLM 在推理过程中自主搜索,引入 retrieved token masking 实现稳定 RL 训练 |
| 2025-02 | 检索增强生成 (RAG) 技术综述 | Paper | - | Yue Shui. 系统梳理 RAG 基础知识、范式演进、核心技术与前沿进展 |
| 2025-02 | A Survey on Multimodal Retrieval Augmented Generation | Paper | - | Abootorabi et al. 多模态 RAG 全面综述 |
| 2025-01 | Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG | Paper | - | Singh et al. Agentic RAG 系统综述 |
| 2024-08 | Graph Retrieval-Augmented Generation: A Survey | Paper | - | Peng et al. GraphRAG 领域综述 |
| 2023-12 | Retrieval-Augmented Generation for Large Language Models: A Survey | Paper | - | Gao et al. RAG 大规模综述 |
| 2023-09 | Retrieving Multimodal Information for Augmented Generation: A Survey | Paper | - | Zhao et al. EMNLP 2023. 多模态 RAG 综述 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2024-07 | RAG vs. Long-Context LLMs: A Comprehensive Study and Hybrid Approach | Paper | - | Li et al. EMNLP 2024. RAG 与长上下文 LLM 的全面对比与混合方法 |
| 2020-05 | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | Paper | - | Lewis et al. NeurIPS 2020. 首次系统提出 RAG,结合参数化记忆与非参数化记忆 |
| 2020-02 | REALM: Retrieval-Augmented Language Model Pre-Training | Paper | - | Guu et al. ICML 2020. 将检索增强引入语言模型预训练 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2023-05 | Query Expansion by Prompting | Paper | - | Jagerman et al. 利用 prompt 进行查询扩展 |
| 2023-05 | Query Rewriting for Retrieval-Augmented Large Language Models | Paper | - | Ma et al. 查询重写优化检索 |
| 2022-12 | Precise Zero-Shot Dense Retrieval without Relevance Labels (HyDE) | Paper | - | Gao et al. 零样本稠密检索,使用假设文档嵌入 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2024-02 | BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings | Paper | - | Chen et al. 多语言、多功能、多粒度嵌入模型 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2023-10 | LLMLingua: Compressing Prompts for Accelerated Inference | Paper | - | Jiang et al. 上下文压缩加速推理 |
| 2023-10 | RECOMP: Improving Retrieval-Augmented LMs with Selective Context Compression | Paper | - | Xu et al. 选择性上下文压缩 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2024-03 | Adaptive-RAG: Learning to Adapt Retrieval-Augmented LLMs via Question Complexity | Paper | - | Jeong et al. 按查询复杂度动态选择检索策略 |
| 2024-01 | Corrective Retrieval Augmented Generation (CRAG) | Paper | - | Yan et al. 检索结果自我纠正机制 |
| 2024-01 | RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval | Paper | - | Sarthi et al. 递归聚类 + 摘要构建树状索引 |
| 2023-10 | Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection | Paper | - | Asai et al. ICLR 2024. LLM 生成时自主决策检索并自我批判 |
| 2023-05 | Active Retrieval Augmented Generation (FLARE) | Paper | - | Jiang et al. 主动检索,根据生成置信度触发 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2020-02 | Efficient and Robust Approximate Nearest Neighbor Search Using HNSW | Paper | - | Malkov & Yashunin. 分层可导航小世界图 ANN 索引 |
| 2019-02 | FAISS: A Library for Efficient Similarity Search | Paper | Code | Johnson et al. Meta 开源高效向量相似度搜索库 |
| 2009-07 | Reciprocal Rank Fusion (RRF) | Paper | - | Cormack et al. SIGIR 2009. 多排序列表融合算法 |
| 2009-04 | BM25 (Okapi) — The Probabilistic Relevance Framework | Paper | - | Robertson & Zaragoza. 经典全文检索排序算法 |
Agentic RAG 将自主代理集成到 RAG 流程中,赋予系统动态决策、规划、工具使用和多代理协作能力。
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2026-06 | HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning | Paper | - | Li et al. 层级多代理记忆系统,将长上下文视为受管理记忆而非扁平语料库 |
| 2023-08 | AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation | Paper | Code | Wu et al. 多代理对话框架 |
| 2023-03 | Self-Refine: Iterative Refinement with Self-Feedback | Paper | - | Madaan et al. 自我反馈迭代改进 |
| 2023-03 | Reflexion: Language Agents with Verbal Reinforcement Learning | Paper | - | Shinn et al. 语言代理的口头强化学习 |
| 2023-02 | Toolformer: Language Models Can Teach Themselves to Use Tools | Paper | - | Schick et al. LLM 自主学会使用外部工具 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2026-07 | KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic RAG | Paper | - | Choi et al. 首个针对 Agentic RAG 的黑盒投毒攻击,劫持多步推理链 |
| 2026-06 | MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG | Paper | - | Singh et al. IJCNN 2026. 记忆引导 MCTS + 新颖性约束多模态 Agentic RAG 红队测试 |
| 2026-05 | Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning | Paper | - | Park et al. ACL 2026 Main. 语言化重排序器连接检索与推理,复杂 QA SOTA |
| 2026-05 | SEMA-RAG: A Self-Evolving Multi-Agent RAG for Medical Reasoning | Paper | - | Huang et al. ACL 2026 Findings. 三专家代理(Interpreter/Explorer/Arbiter)自适应检索医疗推理 |
| 2026-05 | GRASP: Graph Agentic Search over Propositions for Multi-hop QA | Paper | - | Jenkins et al. 层级实体-命题-段落图代理搜索,减少 40-50% token 用量 |
| 2026-05 | Superintelligent Retrieval Agent (SIRA) | Paper | - | Yang et al. 将多轮代理检索压缩为单一语料判别动作,超越 Perplexity 代理 |
| 2026-05 | LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG | Paper | - | Zheng & Worring. 将 Agentic RAG 移至连续隐空间,~90% 延迟降低与显式方法匹配 |
| 2026-05 | CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG | Paper | - | Shen et al. 课程式 rollout 采样 RL 训练 Agentic RAG,+11.8 EM 点提升 |
| 2026-05 | AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning | Paper | - | Sun et al. ACL 2026 Findings. RL 自适应决定搜索终止时机,平衡成本与精度 |
| 2026-05 | AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases | Paper | - | Suresh et al. 企业搜索轻量级代理封装,BRIGHT 召回@1 提升 21.8pp |
| 2025-12 | Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning | Paper | - | Zhang et al. NeurIPS 2025. 过程级 vs 结果级奖励 RL 训练,结果级奖励更优 |
| 2025-08 | End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning (Deep-DxSearch) | Paper | - | Zheng et al. 端到端训练 Agentic RAG,可追溯诊断推理与证据归因 |
| 2025-03 | Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning | Paper | - | Jin et al. RL 训练 LLM 自主搜索 |
| 2025-03 | R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning | Paper | - | Song et al. 纯 RL 教会 LLM 自主调用搜索 |
| 2025-01 | Search-o1: Agentic Retrieval-Augmented Reasoning Models | Paper | - | Li et al. Agentic RAG 集成到推理模型,含 Reason-in-Documents 模块 |
| 2025-01 | CoRAG: Chain-of-Retrieval Augmented Generation | Paper | - | Wang et al. 训练模型生成中间检索链 |
| 2024-12 | GeAR: Graph Expansion Enhanced Retrieval | Paper | - | Shen et al. 图扩展增强检索器,处理多跳查询 |
| 2024-01 | Agent-G: Agentic Graph Retrieval Framework | Paper | - | Lee et al. 基于代理的图检索框架,多代理动态分工 |
通过构建知识图谱捕捉实体间的复杂关系,支持全局性问题回答。
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2025-02 | HippoRAG 2: From RAG to Human-Like Long-Term Memory | Paper | - | Gutierrez et al. 将 RAG 推向类人长期记忆系统 |
| 2024-04 | From Local to Global: A Graph RAG Approach to Query-Focused Summarization | Paper | Code | Edge et al. Microsoft. LLM 提取实体/关系 → 社区检测 → 分层摘要 → Map-Reduce 全局答案生成 |
| 2024-02 | G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding | Paper | - | He et al. 文本图理解与问答 |
将 RAG 扩展到文本、图像、音频、视频等多种模态。
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2024-11 | OmniSearch: Adaptive Multimodal Search | Paper | - | Li et al. 自适应多模态搜索 |
| 2024-07 | ColPali: Efficient Document Retrieval with Vision Language Models | Paper | - | Faysse et al. 视觉语言模型文档检索 |
| 2021-03 | CLIP: Learning Transferable Visual Models from Natural Language Supervision | Paper | Code | Radford et al. OpenAI. 图文跨模态对齐 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2025-12 | MegaRAG: Multimodal Knowledge Graph RAG | Paper | - | Hsiao et al. 多模态知识图谱 RAG |
| 2025-02 | ViDoRAG: Visual Document Retrieval with Multi-Agent RAG | Paper | - | Wang et al. 视觉文档多智能体 RAG,GMM 混合检索 + 迭代工作流 |
| 2024-11 | M3DocRAG: Multi-Modal Multi-Page Document RAG | Paper | - | Cho et al. 多页文档展平嵌入 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2026-07 | Bayesian Uncertainty Propagation for Agentic RAG Pipelines | Paper | - | Donaldson et al. ICMIAM 2026. 贝叶斯网络传播不确定性跨规划/评估/生成阶段 |
| 2026-05 | AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning | Paper | - | You et al. ACL 2026 Findings. 首个 Agentic RAG 逐跳检索推理质量诊断基准 |
| 2026-05 | Is Agentic RAG Worth It? An Experimental Comparison of RAG Approaches | Paper | - | Ferrazzi et al. ACL 2026 Industry. 朴素 RAG、增强 RAG 与 Agentic RAG 实证对比 |
| 2025-01 | SafeRAG: Safety Benchmark for RAG | Paper | - | Liang et al. RAG 安全性基准 |
| 2024-04 | ClashEval: Knowledge Conflict Evaluation | Paper | - | Wu et al. 知识冲突评估 |
| 2024-01 | CRUD-RAG: Chinese RAG Benchmark | Paper | - | Lyu et al. 中文 RAG 基准 |
| 2023-11 | ARES: An Automated Evaluation Framework for RAG | Paper | - | Saad-Falcon et al. LLM 合成数据自动评估 |
| 2023-09 | RAGAS: Automated Evaluation of Retrieval Augmented Generation | Paper | Code | Es et al. 自动化 RAG 评估框架 |
| 2023-09 | RGB: Benchmarking RAG with Noise, Negation, and Integration | Paper | - | Chen et al. 噪声、拒答与信息整合评测 |
| Date | Title | Paper | Code | Comment |
|---|---|---|---|---|
| 2022-10 | MTEB: Massive Text Embedding Benchmark | Paper | Code | Muennighoff et al. 文本嵌入模型大规模基准 |
| 2021-04 | BEIR: A Heterogeneous Benchmark for Information Retrieval | Paper | - | Thakur et al. 零样本信息检索基准 |
| 2020-09 | KILT: Knowledge Intensive Language Tasks Benchmark | Paper | - | Petroni et al. 知识密集型任务基准 |
| Domain | Date | Title | Paper | Code | Comment |
|---|---|---|---|---|---|
| Robotics | 2026-06 | Agentic RAG-VLM: Affordance-Aware RAG with Self-Reflective Planning for Robotic Grasping | Paper | - | Chen et al. 层次化 RAG 连接 VLM 理解与机器人抓取 + 自我反思恢复循环 |
| QA | 2026-05 | From RAG to Agentic RAG for Faithful Islamic Question Answering | Paper | - | Bhatia et al. ACL 2026 Findings. Agentic RAG 结构化工具调用提升宗教 QA 事实忠实性 |
| Education | 2026-06 | Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails | Paper | - | Torsion & Zhou. 模块化多 Agent RAG,98.9% 检索成功率,机构安全护栏 |
| Enterprise | 2026-06 | CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval | Paper | - | Qidwai et al. ACM CAIS 2026. 代理引导成本感知多索引策略,+9.4% recall@10 |
| Finance | 2024-03 | AlphaFin: Benchmarking Financial Analysis | Paper | - | Zhang et al. 金融分析基准 |
| Recommendation | 2024-03 | CoRAL: Collaborative Retrieval-Augmented LLMs for Recommendation | Paper | - | Wu et al. 协同检索增强推荐 |
| Medical | 2024-02 | REALM: Retrieval Augmented Large Medical Model | Paper | - | Zhu et al. 医疗领域检索增强 |
| Science | 2023-06 | MolReGPT: Molecular and Reaction Generative Pre-trained Transformer | Paper | - | Li et al. 分子科学 GPT |
| Legal | 2023-06 | ChatLaw: Open-Source Legal Large Language Model | Paper | Code | Cui et al. 开源法律大模型 |
| Dialogue | 2022-08 | BlenderBot 3: A Deployed Conversational Agent | Paper | Code | Shuster et al. Meta 部署级对话代理 |
| Code | 2022-07 | DocPrompting: Generating Code by Retrieving the Docs | Paper | - | Zhou et al. 文档检索增强代码生成 |
| QA | 2017-04 | Reading Wikipedia to Answer Open-Domain Questions (DrQA) | Paper | Code | Chen et al. 开放域问答经典工作 |
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