来自MSN

Windows AI Automation: How 2026's Agentic Agents Drive Drivers, Backups, and Azure Hooks

The landscape of Windows automation has shifted dramatically in 2026, moving beyond simple scripts to 'Agentic AI' that can navigate the OS, interact with UIs, and execute complex, multi-step tasks ...
IEEE

A Unified Evaluation Framework for Grounded LLM Architectures: Comparative Analysis of RAG ...

Abstract: Retrieval-Augmented Generation (RAG) grounds large language models with external knowledge, while two recent variants—Self-RAG (self-reflective retrieval refinement) and Agentic RAG ...
VentureBeat

Agentic coding at enterprise scale demands spec-driven development

Autonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development. There’s a moment ...
VentureBeat

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...
IEEE

‘Agentic RAG Systems for Real-Time Financial Decision Making: A Multi-Agent Framework ...

Abstract: The integration of Retrieval-Augmented Generation (RAG) systems with multi-agent architectures presents a transformative approach to real-time financial decision making. This paper ...
GitHub

A compact Python project for building retrieval-augmented generation (RAG) flows and ...

Below are small examples and expected outputs to help you get started. Replace the commands with python if your environment maps python to Python 3. Run the app and check the start-up logs ...
GitHub

Mani6027/agentic-rag-example

An AI-powered Excel data analysis system using LangChain, Google Gemini 2.0 Flash, and RAG (Retrieval-Augmented Generation). The system combines semantic understanding through vector search with ...