Product Review

Graph Product Reviews: How We Test Tools

GraphUserGroup reviews graph products from a user perspective, including setup, cost, limits, and real use cases.

GraphUserGroup reviews graph products from a user perspective.

Each review should include the tested version, setup context, dataset or scenario, cost, strengths, limits, and whether vendor support or sponsorship was involved.

We will use this track for graph databases, RDF stores, knowledge graph platforms, GraphRAG systems, and graph AI tools.

Long-form reviews stay in Ghost. Follow-up questions and comparisons continue in Discord #product-reviews.

26년 8월 2주차 그래프 오마카세

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

26년 8월 1주차 그래프 오마카세

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with GraphsLarge language models (LLMs) often struggle with knowledge-intensive tasks due to hallucinations and outdated parametric knowledge.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

26년 7월 4주차 그래프 오마카세

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)

Graph Jobs and Opportunities Board

A public board for graph, data, AI, infrastructure, research, internship, speaker, and collaboration opportunities.

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26년 8월 2주차 그래프 오마카세

26년 8월 1주차 그래프 오마카세

26년 7월 4주차 그래프 오마카세

Graph Jobs and Opportunities Board