本文作者设计了一个通用的开源RAG框架，以兼容未来多样化的基础研究建设和工程化应用诉求。 检索增强生成（RAG：Retrieval Augmented Generation）技术旨在把信息检索与大模型结合，以缓解大模型推理“幻觉”的问题。近来关于RAG的研究如火如荼，支持RAG的开源框架 ...

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

The rise of generative AI has transformed the landscape of data storage and analysis, but it’s also showcasing the importance of key data management approaches, especially between graph and vector ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

Graphwise, the leading Graph AI provider, today announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to turn "Python prototypes" into production-grade systems ...

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?