Abstract: Retrieval-Augmented Generation (RAG) plays a vital role in enhancing large language models (LLMs) by enabling them to leverage external knowledge, thereby reducing hallucinations and ...

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Artificial intelligence (AI) is transforming research in metal–organic frameworks ...

As a world leader in connected LED lighting products, systems, and services, Signify (formerly Philips Lighting) serves not only everyday consumers but also a large number of professional users who ...

A RAG-based retrieval system for air pollution topics using LangChain and ChromaDB. 📄 QuestRAG: AI-powered PDF Question Answering & Summarizer Bot using LangChain, Flan-T5, and Streamlit: A GenAI ...

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as well as for bug fixing and identification. Now, one of its new studies ...

Abstract: This paper introduces Dual Federated Retrieval-Augmented Generation (DF-RAG), a framework addressing privacy, interpretability, and reliability challenges in AI-driven healthcare. Large ...