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条目A3:From Standalone LLMs to Integrated Intelligence — Compound AI Systems 综述
条目A3:From Standalone LLMs to Integrated Intelligence — Compound AI Systems 综述
arXiv:2506.04565 RAG 检索增强 综述 OA · 绿色 被引 9 · S2

本综述界定了 CAIS 的概念,提出基于组件角色与编排策略的多维分类体系,并分析四种基础范式:Retrieval-Augmented Generation (RAG)、LLM Agents、Multimodal LLMs (MLLMs) 与 Orchestration。This survey defines the concept of CAIS, proposes a multi-dimensional taxonomy based on component roles and orchestration strategies, and analyzes four foundational paradigms: Retrieval-Augmented Generation (RAG), LLM Agents, Multimodal LLMs (MLLMs), and Orchestration.

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
图嵌入全面综述:问题、技术与应用
arXiv:1709.07604 RAG 检索增强 综述 OA · 绿色 被引 1973 · S2

本综述对图嵌入文献进行全面回顾,并提出两种图嵌入分类法,分别对应不同图嵌入问题设置中的挑战以及现有工作如何在解决方案中应对这些挑战。This survey conducts a comprehensive review of the literature in graph embedding and proposes two taxonomies ofGraph embedding which correspond to what challenges exist in differentgraph embedding problem settings and how the existing work addresses these challenges in their solutions.