MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
Forbes

AI-Fueled Enterprise Data Management: The Rise Of Oracle Database 23ai

Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. In an era where artificial intelligence is reshaping industries, Oracle has once again ...
Nature

Database Systems

Database systems form the cornerstone of modern information technology, enabling the organised storage, management and retrieval of data across a vast range of applications. These systems encompass a ...

Building Smarter AI Agents: How MCP Servers Connect Local Databases

How do MCP servers connect AI agents to local databases? Learn how the Model Context Protocol enables secure, standardized AI ...
Tech Xplore on MSN

'Rosetta stone' for database inputs reveals serious security issue

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
Security Boulevard

Securing the Knowledge Layer: Enterprise Security Architecture Frameworks for Proprietary Data Integration With Large Language Models

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...