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

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Databrick's Genie allows users to ask questions of data using ...

The Comptroller and Auditor General (CAG) is developing their own Large Language Model (LLM), designed to help auditors access decades of institutional knowledge, thereby improving efficiency and ...

Overview:  Learn the 10 most frequently asked data visualization interview questions along with practical sample answers.Understand what recruiters expect ...

AI/R Avenue Code, a subsidiary of AI/R—a technology company specialized in Agentic AI—, announces it has achieved Gemini Enterprise competency, a recognition granted by Google to partners that ...

IBM expands z17 mainframes with more compact hardware, improved AI, new management tools, and PQC cryptography.

Every developer who has spent serious time with an AI coding agent knows the ritual: open a new session, re-explain the project architecture, remind the model which patterns you use, and hope it doesn ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

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 ...