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Retrieval-augmented Generation

Papers

Showing 125 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
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented GenerationCode9
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsCode9
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot FrameworkCode9
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationCode9
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackCode9
HuixiangDou2: A Robustly Optimized GraphRAG ApproachCode7
From RAG to Memory: Non-Parametric Continual Learning for Large Language ModelsCode7
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context VideosCode7
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsCode7
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented GenerationCode7
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation PipelineCode7
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge DiscoveryCode7
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning MethodsCode7
ColPali: Efficient Document Retrieval with Vision Language ModelsCode7
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsCode7
SGLang: Efficient Execution of Structured Language Model ProgramsCode6
RAGAS: Automated Evaluation of Retrieval Augmented GenerationCode6
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query ParallelismCode5
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