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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.
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.
Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
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.
A web development framework; includes an application server which provides a persistent object cache and transaction support, an intelligent HTML parser, multi-threaded scripting, multiple scripting language support within a single OO framework.
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This will be a generic indexing system for the pythonlanguage with pluggable engines to store the resulting indexes in either ZODB, MySQL or (at a later date) its own proprietary format.