Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI applications.

The dual recognition positions Zilliz as the only vector database vendor to achieve top rankings in both performance and usability categories simultaneously.

Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path matching ...

This research presents the Smart University Assistant (SUA), an AI-driven system designed to improve student access to campus resources at Utah Valley University (UVU) through a combination of graph ...

🐛 Describe the bug invoking memory.reset () is not cleaning the graph database. As I understand it should delete all memories in vector and graph database (in vectors works).

Most Popular Vector Database on GitHub Powers Thousands of AI Applications Worldwide REDWOOD CITY, Calif., May 30, 2025 /PRNewswire/ -- Zilliz, creator of the leading open-source vector database ...

Often, “people confuse graph databases and knowledge graphs, but they’re complementary, not interchangeable,” noted Biswas. “A graph database is like a car’s engine—it stores and processes data ...

Announcing SQL Server 2025—empowering customers to develop modern AI applications securely using their data, complete with best-in-class security, performance, and availability.

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

The US Department of Health and Human Services on Wednesday unveiled a pilot program for the National Institutes of Health to tap into Medicare and Medicaid data in ...