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Retrieval-augmented Generation

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Showing 1–50 of 2196 papers

TitleStatusHype
Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryCode15
LightRAG: Simple and Fast Retrieval-Augmented GenerationCode14
Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria RerankingCode13
From Local to Global: A Graph RAG Approach to Query-Focused SummarizationCode13
Zep: A Temporal Knowledge Graph Architecture for Agent MemoryCode12
WebWalker: Benchmarking LLMs in Web TraversalCode11
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackCode9
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsCode9
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented GenerationCode9
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationCode9
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot FrameworkCode9
ColPali: Efficient Document Retrieval with Vision Language ModelsCode7
MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsCode7
HuixiangDou2: A Robustly Optimized GraphRAG ApproachCode7
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning MethodsCode7
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented GenerationCode7
From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsCode7
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context VideosCode7
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge DiscoveryCode7
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsCode7
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation PipelineCode7
RAGAS: Automated Evaluation of Retrieval Augmented GenerationCode6
SGLang: Efficient Execution of Structured Language Model ProgramsCode6
Retrieval-Augmented Generation for AI-Generated Content: A SurveyCode5
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive AnnotationsCode5
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented GenerationCode5
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGCode5
Search-o1: Agentic Search-Enhanced Large Reasoning ModelsCode5
MiniRAG: Towards Extremely Simple Retrieval-Augmented GenerationCode5
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query ParallelismCode5
TrustRAG: An Information Assistant with Retrieval Augmented GenerationCode5
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge TasksCode5
KBLaM: Knowledge Base augmented Language ModelCode5
Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksCode4
Retrieval-Augmented Generation for Large Language Models: A SurveyCode4
Benchmarking Retrieval-Augmented Generation for MedicineCode4
Retrieval-Augmented Generation with Hierarchical KnowledgeCode4
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
Data-Prep-Kit: getting your data ready for LLM application developmentCode4
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information RetrievalCode4
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative IntelligenceCode4
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingCode4
s3: You Don't Need That Much Data to Train a Search Agent via RLCode4
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt OptimizationCode4
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement LearningCode4
A Survey of LLM DATACode4
Generative Representational Instruction TuningCode4
OnPrem.LLM: A Privacy-Conscious Document Intelligence ToolkitCode4
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up QuestionsCode4
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