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Gen AI apps are built with MongoDB Atlas
The database for AI-powered applications.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
In Law implements a database that does not require a schema. Items are created in the database and related to each other in whatever way is needed. It is to RDBMSes what PERL is to Java.
Gimped v2 is a continuation of a previously developed project. This version will be developed using Java and will attempt to connect to multiple databases while retaining the functionality developed by the previous application.
This is a new generation of SQL (Structured query language) Server which is targeted to serve on a Virtual Appliance. Hybrid SQL Server is targeted to run on VirtualBox from SunMicrosystems.
The BioMANTA project will focus on the computational modeling and analysis, primarily using Semantic Web technologies, of large-scale protein-protein interaction and compound activity networks across a wide variety of species.
BackApps Server-OSGi is the back end server of the BackApps service that supplies all the functionality of the mobile applications in the BackApps realm
prOOst is a provenance storing system, which allows users to store their provenance information in OPM notation. It is based on a graph database and can be accessed for querying and adding of information through a REST interface.
A tool for creating momentum for consultation, where anyone with a few clicks could create their own consultations with the information it contained in its database.
Distributed, scalable storage for flexible records. It is a kind of a distributed records repository with PUT/GET/REMOVE/QUERY features. It is can constitute a cluster and scale horizontally. It exposes a RESTful JSON interface.
commTee is a system which is used to store informations received from mobile clients (Phone, PND, PDA, ...). The system is able to work with about 10k nodes. Used protocols and technologies: UDP, TCP/IP, Sockets, Java, Hibernate, OSGI