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.
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The All-in-One Commerce Platform for Businesses - Shopify
Shopify offers plans for anyone that wants to sell products online and build an ecommerce store, small to mid-sized businesses as well as enterprise
Shopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
Formalized English (o.a.) for standardized information exchange
Formal English (Formal Dutch, etc.) are members of the Gellish family of computer interpretable languages for modeling products and processes and their properties as well as for knowledge representation, modeling of requirements and for modeling definitions.
The project is intended for further development of Formal English and its Taxonomic Dictionary-Ontology.
Software tools for supporting implementations are developed as a https://github.com/ project.
The 2008 version of the taxonomic...
mx is a Ruby/Rails code base with broad application in evolutionary biology, it includes general functionality for matrix handling, sequence management, ontology construction, specimen handling, taxonomic catalogs, taxonomic descriptions and more
The “RDB2RDF Mapper” is a Java based software desktop application which allows a user to create a mapping file between a relational database and an RDFS/OWL ontology via a graphical user interface. This project is ANDS-funded.
Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.
EHR/EMR cross-platform electronic medical record application
EHR/EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care.
Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
METAmorphoses is a system for flexible and easy-to-use generation of RDF metadata directly from a relational database. Metadata are genereated according to a mapping from an existing database schema to a particular ontology.
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OntoCardio is an initiative to build ontologies for the legacy Cardio Database (Resource of bioinformation on cardiovascular diseases). SMI's Protege and its OWL plug-in has been adopted as the ontology construction and programming framework.