Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Build Securely on AWS with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
The Semantic Web implementation using native xml database as backend storage. A SPARQL javacompiler to XQuery using Jena. There are XQuery scripts for native xml database Sedna(http://modis.ispras.ru/sedna/).
A language designed for server-side WWW-based applications,
particularly database applications. It is based on Scheme, which makes the syntax extremely simple yet powerful. This implementation is a Java Servlet using the Kawa Scheme compiler.