TORONTO, Jan. 8, 2026 /PRNewswire/ - Henon today announced the release of the world's first Zero-Error Retrieval-Augmented Generation (RAG) system built specifically ...

Abstract: The scarcity of Arabic-language educational tools tailored for university students, particularly in specialized fields like law and humanities, limits academic engagement and learning ...

A production-ready Retrieval-Augmented Generation (RAG) system designed for 100% local processing with zero cloud APIs and zero cost. Distributed as a Python library with MCP server integration, slash ...

Abstract: The integration of large language models (LLMs) in healthcare represents a crucial advancement in utilizing cutting-edge technology for patient care and medical research. The main problem ...

What if you could harness the power of innovative AI without ever compromising your data’s privacy? Imagine a system that processes sensitive legal contracts, medical records, or financial data ...

Harking back to the very earliest days of the Orange Rag, every newsletter will have a legal tech clinic, where end users submit their conundrums for expert opinion and advice. This month our ...

According to God of Prompt (@godofprompt) on Twitter, implementing role-based prompting with explicit, measurable constraints significantly enhances the quality and specificity of AI-driven outputs ...

Introduction: Clinical decision-making in hepatology is currently challenged by the rapid expansion of medical knowledge and the limitations of Large Language Models (LLMs), specifically their ...

In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes.