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 ...
Geeky Gadgets

OpenAI’s Index-Free RAG: The Future of AI Information Retrieval

What if the way we retrieve information from massive datasets could mirror the precision and adaptability of human reading—without relying on pre-built indexes or embeddings? OpenAI’s latest ...
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 ...
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 ...
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 ...
Morningstar

MongoDB Sets a New Standard for Retrieval Accuracy with Voyage 4 Models for Production-Ready AI Applications

Tavily and TinyFish among customers using MongoDB to build and scale AI-powered features and workloads. SAN FRANCISCO, Jan. 15, 2026 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today announced an ...
InfoWorld

The magic of RAG is in the retrieval

The decades-long pursuit to capture, organize and apply the collective knowledge within an enterprise has failed time and again because available software tools were incapable of understanding the ...