VentureBeat22d
Medical training’s AI leap: How agentic RAG, open-weight LLMs and real-time case insights are shaping a new generation of doctors at NYU Langone
But it’s not just accessing documents — the model is going beyond RAG, actively employing search and other tools to discover the latest research documents. Each night, the model connects to ...
Statetechmagazine25d
What Is Retrieval Augmented Generation, and How Are State and Local Agencies Using It?
RAG allows government agencies to infuse generative artificial intelligence models and tools with up-to-date information, creating more trust with citizens. Phil Goldstein is a former web editor of ...
Computer Weekly25d
RAG AI: ‘Do it yourself,’ says NYC data scientist
Organisations should build their own generative artificial intelligence-based (GenAI-based) on retrieval augmented generation (RAG) with open source products such as DeepSeek and Llama.
IEEE26d
Legal Query RAG
To address these limitations, this paper introduces Legal Query RAG (LQ-RAG), a novel Retrieval-Augmented Generation framework with a recursive feedback mechanism specifically designed to overcome the ...
Geeky Gadgets28d
RAG’s Intelligent Upgrade Agentic RAR (Oxford University)
Have you ever found yourself frustrated by how even the smartest AI systems sometimes fall short when faced with truly complex problems? Whether it’s navigating intricate financial decisions ...
unite28d
Keeping LLMs Relevant: Comparing RAG and CAG for AI Efficiency and Accuracy
Addressing these issues has led to the development of innovative techniques such as Retrieval-Augmented Generation (RAG) and Cache Augmented Generation (CAG). RAG has long been the standard for ...
Vogue29d
Rag & Bone
For Jennie McCormick, fall at Rag & Bone is all about “heritage but redefined.” The brand’s classic essentials like denim, blazers, and nylon jackets have all gotten an upgrade. Jeans have ...
Microsoft29d
5 key features and benefits of retrieval augmented generation (RAG)
Enter retrieval augmented generation (RAG)—an innovative approach that seamlessly integrates information retrieval with text generation. This powerful combination of retrieval and generation has the ...
GitHub6mon
RAGFlow is an open-source RAG engine based on deep document understanding
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large ...