Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can undermine accuracy, cost, and user trust even when models themselves perform well ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
eWeek

What is Retrieval-Augmented Generation? How it Works & Use Cases

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
datanami.com

Cohere Introduces Rerank 3: A New Foundation Model for Efficient Enterprise Search & Retrieval

April 11, 2024 — Cohere today unveiled its latest foundation model, Rerank 3. In this blogpost, Sylvie Shi and Nils Reimers detail how this innovative model is set to advance enterprise search and ...
Forbes

Unleashing The Power Of Retrieval-Augmented Generation For Medium-Sized Businesses

Many medium-sized business leaders are constantly on the lookout for technologies that can catapult them into the future, ensuring they remain competitive, innovative and efficient. One such ...
Geeky Gadgets

Harvard’s MedAI: The Future of Medical Question-Answering

Harvard Medical School has unveiled MedAI, a new knowledge graph-based agent set to transform the landscape of medical question-answering. This innovative tool addresses the critical shortcomings of ...
Machine Design

How Generative AI is Improving Information Retrieval for Engineers

If you look at recent news articles about artificial intelligence (AI), you’ll read all about the potential for catastrophic job layoffs, deepfakes and unethical chatbots. For mechanical engineers, ...