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.
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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...
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.