自主式检索增强生成（Agentic RAG）的提出代表了RAG技术的重要演进，它通过赋予大语言模型动态调用检索工具、自主规划和调整推理流程的能力，显著提升了处理复杂、多步骤任务的性能。与传统RAG依赖静态、单次检索不同，Agentic RAG将检索深度集成到推理过程中 ...

Agentic RAG 是当前 LLM 应用中一个非常火热的方向。与传统 RAG 不同它让模型在推理过程中自主决定要不要检索、什么时候检索。这样就相当于给模型一套工具让它自己判断该用哪个。 目前训练 Agentic RAG 的主流做法是结果监督强化学习：只在推理结束后给一个标量 ...

Data integration platform provider Nexla Inc. today announced an update to its Nexla Integration Platform that expands no-code generation, retrieval-augmented generation or RAG pipeline engineering, ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

A world is fast approaching where your interactions with technology feel less like a frustrating game of twenty questions and more like a seamless conversation with a knowledgeable friend. Whether you ...

Permissions management startup AuthZed Inc. today announced new support for retrieval-augmented generation and agentic artificial intelligence systems, expanding its authorization infrastructure to ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When large language models (LLMs) emerged, ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Deon Nicholas AI agents ...

Legal professionals are under greater pressure than ever in recent history. Many law firms still rely heavily on manual review by paralegal teams and labor-intensive cross-referencing. All of this ...