Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.
Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
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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.
elementary database files for Java, B+ tree index files, ISAM
Java API to realize quick ISAM (Index Sequential Access Method) functionality for application in the file system. Includes scalable database files w/ space recovery and variable record length, scalable B+Tree index files. Supports file backup and restore. Two package types: one with and one without strong file encryption using Twofish algorithm and state-of-the-art encryption technology.
A disk based production quality RTree based upon Guttmans quadratic split algorithm having following features:
Buffering with dirty write,
Index joins,
Tree Seeding,
Window and NN queries,
Runtime STR Packing capability,
Completely Thread safe.