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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.
This is a suite of mathematical software solvers GUI
This is a suite of mathematical software solvers interface on DLV and other command-line solvers. It helps researchers and students to better comprehend their declarative definitions published on papers. The user can have links to the related papers and to the software of the corresponding definitions.
Xcerpt is a Query and Transformation Language for XML and Semistructured data. Instead of the navigational approach of XPath-based languages like XSLT or XQuery, Xcerpt uses patterns for querying and is based on concepts of logicprogramming like unifica
A declarative logicprogramming system with first-class relations
embedded in a pure functional subset of Scheme. The system has true
unions, fair scheduling, lexically-scoped logical variables,
set-theoretical semantics, high performance without cuts
ARMR provides a foundation for creating an efficient in-memory database. Its unique list processing structures simplify programminglogic and allow the developer to rapidly sort, group, and select data. Give your app a hypercard like capability.
A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logicprogramming concepts like logical variables, facts, rules and queries are included.