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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.
Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language.
More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues
Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
FGL is a tightly-integrated self-contained development & execution environment utilizing best-of-breed programming tools and methodologies, optimized web/application server, highly-scalable relational/object database, and robust extension interface.
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.
A collection of software to implement search engine technology. The overall search technology is built on the individual components of this project, each component is released under the BSD License, and is written in the language most suited to its task.