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Gen AI apps are built with MongoDB Atlas
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.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
The Malete database core is the new basis of OpenIsis,
which has its roots in the UNESCO CDS/ISIS database.
Traditionaly used in libraries; now a general purpose highspeed database.
Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
REQADM is a comprehensive request queue administration facility for helpdesks and other groups who track customer issues. Clients include full GUI (X or Windows), web, e-mail, command-line, batch and custom API. Includes report generator.
Advanced built-in security helps IT prevent breaches before they happen
Defend against security incidents with Chrome Enterprise. Create customizable controls, manage extensions and set proactive alerts to keep your data and employees protected without slowing down productivity.