Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context OptimizationLong Chen, Ryan Razkenari, Yuxuan Zhou, Yuan Tian, Rahul Ghosh, Venkatesh Pappakrishnan, Disha Ahuja, Vidya Sagar Ravipati. Proceedings of the Fifth Workshop on Generation, Evaluation
Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with GraphsLarge language models (LLMs) often struggle with knowledge-intensive tasks due to hallucinations and outdated parametric knowledge. While Retrieval-Augmented Generation (RAG) addresses
GUG 커뮤니티의 반가운 소식 * 오랜만에 인사드립니다 ! 다시 오마카세를 찾아주신 분들도, 이번에 처음 오신 분들도 모두 반갑습니다. 한국도 무더위가 이어지고 있다고 들었는데, 모두 건강하게 잘 지내고 계셨나요? * 최근 저희 GUG(Graph User Group)에 정말 반가운 소식이 있어서 전해드리고자 합니다. GUG가 2026 오픈소스 AI·SW 커뮤니티 지원사업에 선정되었습니다. 7월 25일(토요일)
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