Abstract: Large Language Models (LLMs) demonstrate extensive potential in text generation, attracting significant user interest and finding wide applications. However, when faced with insufficient ...
Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
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 ...
Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...
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 ...
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 ...
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