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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.
A website setup tool written in the Java programminglanguage providing necessary functionalities to configure source files including SQL structures for the targeted database. FTP access and SQL support are required on the targeted host.
EBML, or Extensible Binary Meta-Language, is a simple XML like binary language for describing data in structured style. EBML was originally designed for use in the Matroska project, but the developers saw that EBML was very flexible and extensible.