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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.
An attempt at a Xanalogical Web, comprised of a CGI system with both native and HTML interfaces, a set of standards, a backend supporting Transclusion, versioning, and a custom browser with support for Transpointing and editing.
Pony is an object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application.
Following is an example of a query in Pony:
select(p for p in...
interface for storing objects to relational database (mySQL at the moment); written in python; nice to use with zope application server to store the content of web-forms in a generic way
Web application for real-estate business processes and client relationship automation, featuring a CMS-like environment. Made with Python, Django framework and Postgres RDBMS.