This tree search framework hits 98.7% on documents where vector search fails

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
Forbes

The Evolution Of Search: From Document Retrieval To Answer Generation

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...
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 ...
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 ...
Nature

CAD Model Retrieval and Design Reuse

CAD model retrieval and design reuse constitute a critical research area in engineering, where the efficient recovery of relevant design data from extensive libraries can notably reduce development ...
Forbes

RAGs To Riches: How Retrieval-Augmented Generation Is Changing Advertising

Artificial intelligence (AI) is revolutionizing digital advertising, enabling brands to deliver personalized and engaging experiences at scale. However, despite the advancements in generative AI, one ...
EurekAlert!

Large language model-driven medical knowledge retrieval and QA system: A new framework

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...