This page shows the most relevant public items for RAG, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Blog • Mar 27, 2026 • Google Cloud Blog • Anil Jain
Google Cloud argues that organizations must move beyond chatbot-centric AI strategies toward agentic systems capable of reasoning and acting. The post addresses the competitive risk of delay and em...
Blog • Mar 26, 2026 • UiPath Blog • Mark Geene
UiPath reports on an agentic AI summit and uses it to discuss the gap between POCs and production outcomes. The post’s core problem is turning agent capability into dependable end-to-end workflows ...
Blog • Mar 11, 2026 • OpenAI • Thomas Shadwell, Adrian Spânu
OpenAI frames prompt injection not as simple string-matching but as an evolving social-engineering-like threat that targets tool-using agents. The post defines the problem of malicious external con...
Blog • Mar 25, 2026 • Blaxel • Nicolas Lecomte
This is a comparative guide assessing nine AI agents across coding, business automation, and IT operations. It frames the core problem as vendor evaluation under uncertainty: demos look good, but r...
Blog • Mar 19, 2026 • OpenAI • Marcus Williams, Hao Sun, Swetha Sekhar, Micah Carroll, David G. Robinson, Ian Kivlichan
This post describes an internal monitoring system used to detect misaligned behavior in coding agents deployed in realistic, tool-rich environments. It articulates the risk: agents may work around ...
Paper • Mar 18, 2026 • arXiv • VoltAgent Research Team
Agyn is a proposed multi-agent system designed for autonomous software engineering that assigns specialized roles like coordinator, researcher, and reviewer to different agents. The paper explores ...
Paper • Mar 13, 2026 • arXiv • Orit Shahnovsky, Rotem Dror
This paper addresses the 'black box' nature of LLM web agents by formally treating web tasks as sequential decision-making processes. It introduces a taxonomy that distinguishes between 'Step-by-St...
Paper • Mar 20, 2026 • arXiv • Soham Ghosh, Gaurav Mittal
This paper establishes a precise taxonomy for Agentic AI within the context of electrical engineering, distinguishing it from previous automation paradigms. It presents four detailed use cases, inc...
Paper • Mar 14, 2026 • bioRxiv • Xiaopeng Xu, Chenjie Feng, Chao Zha, Wenjia He, Bin Xiao, Xin Gao
This paper introduces ProteinMCP, a novel framework that utilizes the Model Context Protocol (MCP) to enable autonomous AI agents to conduct protein engineering. The system coordinates between sequ...
Paper • Mar 11, 2026 • arXiv • Zhiwei Liu, Kay Liu, Jingdi Chen, Carlee Joe-Wong
This paper presents the first systematic and comprehensive survey of AI agent security, analyzing the design space, attack landscape, and defense mechanisms for autonomous systems. The researchers ...
Blog • Mar 11, 2026 • AWS • Nav Bhasin, Sri Elaprolu
This guide addresses the transition from Generative AI as a feature to Agentic AI as a fundamental shift in business operations. It provides a framework for stakeholders to evaluate organizational ...
Blog • Mar 12, 2026 • LogRocket Blog • LogRocket Editorial Team
This exhaustive review ranks the top AI development tools of March 2026, including Windsurf, Cursor, and Claude Code. The rankings are based on primary benchmarks like SWE-bench, context window siz...
Paper • Feb 14, 2026 • arXiv • Rui Yu, Tianyi Wang, Ruixia Liu, Yinglong Wang
PT-RAG proposes a structure-aware retrieval framework designed specifically for long academic documents. Traditional RAG pipelines flatten documents into chunks, which destroys the natural hierarch...
Paper • Feb 5, 2026 • arXiv • Minghao Du, Yifan Sun, Zeyu Li
A-RAG proposes an agentic retrieval framework that exposes retrieval tools directly to large language models. Rather than treating retrieval as a static preprocessing step, the architecture allows ...
Paper • Feb 11, 2026 • arXiv • Pengcheng Zhou, Haochen Li, Zhiqiang Nie, JiaLe Chen, Qing Gong, Weizhen Zhang, Chun Yu
This paper introduces CogitoRAG, a cognitive-inspired retrieval-augmented generation framework designed to mimic human episodic memory and semantic gist formation. The system constructs a multi-dim...
Paper • Mar 9, 2026 • arXiv • J. Smith, A. Doe, L. Weiss
This paper presents a novel AI Engineering curriculum designed to integrate agentic tools directly into the agile software development lifecycle. It advocates for moving beyond simple AI lectures t...
Paper • Mar 11, 2026 • USC Viterbi • Luca Luceri, Emilio Ferrara
This study explores how networked LLM agents can autonomously coordinate complex information operations without explicit human direction. By modeling agents as strategic actors in a social network,...
Paper • Mar 11, 2026 • arXiv • Y. Yuan, H. Xu, Z. Liu
This research introduces a multi-agent framework designed to automate the generation and orchestration of rApp policies in Open Radio Access Networks (Open RAN). The system utilizes three specializ...
Blog • Mar 20, 2026 • Microsoft Security Blog • Vasu Jakkal
Published during RSAC 2026, this article outlines a comprehensive security framework for autonomous AI agents. It covers the necessity of continuous adaptive access, safeguarding data across agenti...
Blog • Mar 16, 2026 • Google Cloud • Mark Lohmeyer
Announced during GTC 2026, this post details Google Cloud's latest AI infrastructure, including G4 VMs powered by NVIDIA Blackwell GPUs. It introduces fractional GPU configurations and new integrat...
It ranks public content for RAG using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to RAG topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to RAG topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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