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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.
TymeacSE is a full-feature, multi-threading, fork-join framework for Java SE development (RMI and internal server). TymeacSE provides a high performance queuing facility, professional thread management and recursive processing that is easy to use.
TymeacME is a full-feature, multi-threading, backend-process manager for Java (J2ME) development. TymeacME provides a queuing facility, professional thread management, recursive processing and a minimal footprint that is easy to use.
C/C++/Java source code library and Build Environment. Contains code for threading, inter-thread communication (ITC), sockets, embedded database, parsing, fileio, etc. The majority of the library is designed for embedded development.