Retrieval-augmented generation enters boardroom discussions around GenAI – GlobalData Report
finance.yahoo.comAccording to GlobalData, companies are focusing on RAG technology to allow customers to integrate real-time information into AI systems, making it a key strategic topic in enterprise boardrooms.
The Definition of Retrieval Augmented Generation
tech.yahoo.comExplains what Retrieval-Augmented Generation (RAG) is - an advanced AI technique that enhances LLMs by retrieving relevant information from external sources to improve accuracy and reduce hallucinations.
Microsoft unveils Memora to tackle AI agents memory problem
computerworld.comMicrosoft unveils Memora system that uses abstraction-based retrieval for efficient long-term recall in AI agents.
How to Turn Enterprise Knowledge Assistants Into Production Systems
techrepublic.comGuide on moving enterprise knowledge assistants into production with trusted data, RAG, citations, and access controls.
From RAG to ontology: Databricks bets on context as the key to trusted AI agents
cio.comDatabricks shifts from simple RAG to using ontology and rich business context as the key for building trusted AI agents.
PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x
venturebeat.comUC Berkeley's PixelRAG renders pages as screenshots instead of text parsing, boosting RAG accuracy by up to 18.1% while cutting AI agent token costs tenfold.
Global Database Launches Regis, an AI Assistant for Live Company Registry Data
aol.comGlobal Database launches Regis, an AI assistant that answers business questions using live company registry data with retrieval capabilities built on recent enhancements to RAG systems.
At VivaTech 2026, Taiwan-Based MaiAgent Says Enterprises Should Stop Building RAG and AI Agent Systems From Scratch
lelezard.comMaiAgent platform says enterprises should stop building RAG systems from scratch at VivaTech 2026, focusing instead on advancing AI transformation with pre-built solutions.
GraphRag: What entity-first retrieval means for SEO
searchengineland.comExplains why AI is shifting from isolated text to connected knowledge, and what GraphRAG means for search optimization. Discusses making brands machine-readable with entity-focused retrieval.
What is RAG in AI? The low-down on Retrieval Augmented Generation
yahoo.comExplains the basics of RAG (Retrieval Augmented Generation) and how it works in AI applications. Covers fundamentals for developers new to this architecture pattern.
GraphRAG: What entity-first retrieval means for SEO
msn.comGraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search. Discusses entity-first retrieval techniques in the context of RAG systems.
Want AI agents to work better? Improve the way they retrieve information...
tech.yahoo.comArticle about improving AI agents' information retrieval capabilities, relevant to RAG techniques for better accuracy and context handling.
Global Database Launches Regis, an AI Assistant for Live Company Registry Data
finance.yahoo.comGlobal Database announces Regis, an AI assistant designed to answer business questions using live company registry data via retrieval-augmented generation.
GraphRAG: What entity-first retrieval means for SEO
msn.comGraphRAG article explaining why AI is shifting from isolated text to connected knowledge and what that means for AI search.
Enterprise AI agents keep creating data silos. Microsoft's Build answer is Microsoft IQ and Rayfin.
venturebeat.comMicrosoft launches IQ and Rayfin at Build 2026 to address data silo problems created by ungoverned AI agent apps, helping manage RAG-based enterprise applications.
Nvidia and AWS Deepen Ties to Speed AI Inference and Vector Search
techtimes.comNvidia and AWS expand partnership to accelerate AI inference capabilities at production scale, including vector search improvements that enhance RAG systems.
The Mirror Problem: Why Generic Content Can’t Win in AI Search
cmswire.comThis article examines the challenges of generic content dominating AI search results and discusses retrieval mechanisms in modern search systems. It explores why unique, valuable information is needed to stand out against automated generation.
EyeRAG: graph retrieval-augmented generation for safe and accurate clinical dialogue in ophthalmology
nature.comResearchers present EyeRAG, a graph-based retrieval-augmented generation system designed to ensure safe and accurate clinical dialogue in ophthalmology applications. Published June 5, 2026 in Nature.
The emergence of the web data infrastructure layer for AI
technologyreview.comMIT Technology Review explores how AI infrastructure must evolve to enable access and delivery of real-time information at scale for advanced applications.
Grounding, not models, will define your AI advantage
cio.comOpinion piece discussing how data grounding rather than models defines AI advantage, with mentions of hallucination issues in enterprise AI systems and the role of retrieval mechanisms.