InfoWorld

Retrieval-augmented generation, step by step

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...
Forbes

Retrieval-Augmented Generation Is An Engineering Problem, Not A Model Problem

Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...
Forbes

How Retrieval-Augmented Generation Could Solve AI’s Hallucination Problem

Large language models (LLMs) like OpenAI’s GPT-4 and Google’s PaLM have captured the imagination of industries ranging from healthcare to law. Their ability to generate human-like text has opened the ...
Nature

Retrieval-augmented generation for generative artificial intelligence in health care

Generative artificial intelligence has brought disruptive innovations in health care but faces certain challenges. Retrieval-augmented generation (RAG) enables models to generate more reliable content ...
Statetechmagazine

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 ...
Business Insider

AI chatbots spew out nonsense too often. But there's a solution: retrieval-augmented generation.

The November 2022 launch of OpenAI's ChatGPT kicked off the latest wave of interest in AI, but it came with some serious issues. People could ask questions on almost any topic, but many of the large ...
TMCnet

KubeCon + CloudNativeCon, OpenInfra Summit and PyTorch Conference Unite in China to Scale AI

Full schedule released for the inaugural co-location of KubeCon + CloudNativeCon, OpenInfra Summit, and PyTorch Conference China 2026. Uniting cloud native, open infrastructure, and machine learning ...
Nature

Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation

Large language models (LLMs) demonstrate significant potential in healthcare applications, but clinical deployment is limited by privacy concerns and insufficient medical domain training. This study ...
InfoWorld

Fully local retrieval-augmented generation, step by step

How to implement a local RAG system using LangChain, SQLite-vss, Ollama, and Meta’s Llama 2 large language model. In “Retrieval-augmented generation, step by step,” we walked through a very simple RAG ...