Companies can build RAG in days. Making it reliable enough to run the business is much harder

Permissions become especially important when a RAG system is connected to internal company information. Imagine an employee ...
SiliconANGLE

Ragie launches with $5.5M in funding to ease RAG application development

Ragie Corp., a new startup that helps developers build retrieval-augmented generation applications, launched today with $5.5 million in seed funding. Craft Ventures, Saga VC, Chapter One and Valor ...
InfoQ

Google Vertex AI Provides RAG Engine for Large Language Model Grounding

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Chad Schuster discusses bridging Python's ...
JD Supra

Private LLMs vs. RAG Systems? Choosing the Right AI Strategy for Your Legal Organization

Image: John Tredennick, Merlin Search Technologies with AI. As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating the ...
ZDNet

RAG can make AI models riskier and less reliable, new research shows

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
SiliconANGLE

Vectara raises $25M, debuts new RAG-optimized Mockingbird model

Vectara Inc., a startup that helps enterprises implement retrieval-augmented generation in their applications, has closed a $25 million early-stage funding round to support its growth efforts. The ...
InfoWorld

The limitations of model fine-tuning and RAG

The hype and awe around generative AI have waned to some extent. “Generalist” large language models (LLMs) like GPT-4, Gemini (formerly Bard), and Llama whip up smart-sounding sentences, but their ...
techtarget

RAG best practices for enterprise AI teams

Large language models are designed to respond to almost any question. But those responses aren't necessarily grounded in verified or up-to-date information. Retrieval-augmented generation enables ...
Business Line

What managers should know about RAG: A complement to AI models

Imagine hiring the world’s most intelligent analyst in your team — someone who can synthesise information instantly, reason across complex topics, and communicate with remarkable clarity. Now imagine ...
VentureBeat

Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing ...