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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.
Model driven code generation can improve coding standards, speed, quality of development and reduce your costs. From my experience generating code from XML using XSLT is one of the best and fastest solutions.
This is just the base of the framework presenting the idea, any code template can be implemented upon request.
Some sample generators are present for SQL / PLSQL / C# / AnsiC / Java
The main target is to generate DTO/BDO/POJO objects based on the database definitions in multiple languages aligning all technologies used by a development team.
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Send XMPP (Gtalk/Google Talk also supported) messages (thanks to Jabber) within a single line of PL/SQL code, get buddies list and status in relational tables (or xml) on Oracle 11g.
Set of tools and libs for
managing structured data
in a very flexible way:
Imp./Exp. ASCII, XML, SQL,
PS, Tex/LaTex, RTF
GUI: X-Windows, MS-Windows
Interface to C++, DBs, Perl,
PHP, Java, TCP/IP
LISP-like interpreter
written in C++ using C-LIB
Define your database structure and relations once using the ZsqlML (Zenark's SQL Markup Language) XML DTD, and then generate mulitple vendor-specific SQL scripts, thereby solving the issue of SQL script variances across multiple platforms.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.