Local-first RAG evaluation framework for LLM applications. 100% local, no API keys required.
One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
From agentic intelligence to AI trust frameworks, Mindbreeze experts highlight the technologies transforming enterprise operations and decision-making Mindbreeze, a leading global provider of AI-based ...
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 ...
NVIDIA introduces a self-corrective AI log analysis system using multi-agent architecture and RAG technology, enhancing debugging and root cause detection for QA and DevOps teams. NVIDIA has announced ...
E-Commerce customer support requires quick and accurate answers grounded in product data and past support cases. This paper develops a novel retrieval-augmented generation (RAG) framework that uses ...
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