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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.
Now stored at https://github.com/gregorydgraham/DBvolution
Available from Maven Central: nz.co.gregs.dbvolution
Makes relational data easy and fast to use with semantic annotations and encapsulated datatypes.
Simple declaration of a DB table:
@DBTableName("mytable")
public class MyTable extends DBRow {
@DBColumn("numeric_code")
@DBForeignKey(Code.class)
private DBNumber numericCode = new DBNumber();
@DBColumn("uid_mytable")
@DBPrimaryKey
@DBAutoIncrement
private...
This project has been abandoned. Please ignore.
The Knowledge Workbench is a real-time, Ajax based, distributed collaborative editing environment using arbitrary XML building blocks to capture information. These in turn can be stored in libraries and linked together to form hierarchical models.
Note - This Project is dead. Tho code created here was could not be used successfully. But the idea behind this project is not dead. There exists a successor project which sincerely is not yet ready for public. Contact bihrm@sf.net for more information.