But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.

To really appreciate clothes and to fully understand what you truly like, you have run through the full gauntlet of menswear trends and make it out of the other side alive. After you've tried multiple ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...

What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...

What if you could build an AI agent that not only automates your daily tasks but also adapts to your unique needs, seamlessly integrating with your favorite tools, analyzing vast datasets, and even ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

Abstract: This study introduces Knowledge Augmented Question Generation (KAQG), an educational assessment framework that integrates Item Response Theory (IRT), Bloom’s Taxonomy, and knowledge graphs ...

Microsoft's Agent 365 will be able to automatically pick up on artificial intelligence agents developed with the company's software, as well as systems from Adobe, ServiceNow and Workday. IT ...

At Rag & Bone, one of Jennie McCormick and her team’s missions is to create clothing that not only fits well, but also has great hanger appeal. It’s probably why Rag & Bone’s popularity hasn’t waned ...

In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...

自然语言问题 │ [RAG Agent] —— 从 Brick TTL 检索上下文（FAISS）→ DeepSeek 生成 SPARQL │ [SPARQL Agent] —— 使用 rdflib 在 Brick 图谱上执行查询 → 获取传感器/ts_id │ [Analysis Agent] —— 根据 ts ...

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 ...