Tech Xplore on MSN

Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

KAIST: "Improving Data Processing Accuracy and Speed, Key to Overcoming Barriers to Enterprise AI Adoption"

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

pgEdge Announces ColdFront for PostgreSQL, Seamlessly Uniting AI, Analytical and OLTP Workloads

Offers Read and Write Access to Hot and Cold Storage With no Application Code Changes, Delivering up to 90% Savings in ...
The New York Times

For Most Household Cleaning Tasks, Bring Back the Rag

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Caroline Mullen Caroline Mullen is a writer focused on cleaning and organizing ...
VentureBeat

Your AI agents need a terminal, not just a vector database

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often ...
IEEE

RAG-NL2SQL:Implementing the Conversion from Natural Language to Unstructured Database Query Language Based on RAG

Abstract: So far, natural language to structured query language (NL2SQL) conversion has become a critical technology for database access and intelligent question answering. Unstructured databases have ...
Microsoft

Advancing agentic AI with Microsoft databases across a unified data estate

This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...
VentureBeat

SurrealDB 3.0 wants to replace your five-database RAG stack with one

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...