Forbes

Retrieval-Augmented Generation Is An Engineering Problem, Not A Model Problem

Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...

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 ...
Forbes

The Rise Of Retrieval-Augmented Generation

Punnam Raju Manthena, Co-Founder & CEO at Tekskills Inc. Partnering with clients across the globe in their digital transformation journeys. Retrieval-augmented generation (RAG) is a technique for ...
Nature

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation

We introduce ChronoQA, a benchmark dataset for Chinese question answering focused on evaluating temporal reasoning in Retrieval-Augmented Generation (RAG) systems. Built from over 300,000 news ...
Nature

Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation

Large language models (LLMs) demonstrate significant potential in healthcare applications, but clinical deployment is limited by privacy concerns and insufficient medical domain training. This study ...
VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...