This page shows the most relevant public items for rag/year/2026, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Blog • Apr 2, 2026 • Morgan Lewis • Doneld G. Shelkey
Morgan Lewis explains the shift from reactive generative AI to agentic systems that can set objectives, retrieve information, decide, act, and iterate. The core problem is legal and operational: on...
Blog • Apr 1, 2026 • Substack • Berkeley RDI
Berkeley RDI publishes a weekly newsletter covering agentic AI developments, including research highlights and community activities. This issue discusses emergent misalignment behaviors in multi-ag...
Blog • Mar 30, 2026 • Harvard Business Review • Andrew Burt
HBR presents a governance-driven perspective on agentic AI risks, likening certain agent behaviors and threat models to malware. The core problem is organizational: how to contain agent risks with ...
Blog • Mar 30, 2026 • Databricks Blog • Ippokratis Pandis, Nikita Shamgunov, Reynold Xin
Databricks examines how agentic frameworks that write, test, deploy, and iterate software affect database requirements. The core problem is that agents increase experimentation velocity and spawn m...
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 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 ...
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 • Feb 17, 2026 • Towardsai • Florian June
Traditional Retrieval-Augmented Generation (RAG) is becoming a commodity; the next frontier is 'Cog-RAG.' This post details a new architecture where an agentic 'brain' evaluates a query, identifies...
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 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 • Feb 19, 2026 • arXiv • Florian June, Wei-Lin Chiang, Hao Peng
Traditional Retrieval-Augmented Generation (RAG) models employ a naive 'retrieve-then-read' pipeline, which frequently fails when addressing complex, multi-hop queries that require implicit reasoni...
It ranks public content for rag/year/2026 using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to rag/year/2026 topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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