This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs). RecAI provides a suite of tools, including Recommender AI Agent, Recommendation-oriented Language Models, Knowledge Plugin, RecExplainer, and Evaluator, to facilitate the integration of LLMs into recommender systems from multifaceted perspectives. The new generation of recommender systems, empowered by LLMs, are expected to be more versatile, explainable, conversational, and controllable, paving the way for more intelligent and user-centric recommendation experiences. We hope the open-source of RecAI can help accelerate evolution of new advanced recommender systems. The source code of RecAI is available at \url{https://github.com/microsoft/RecAI}.

翻译：本文介绍RecAI，一个旨在通过大型语言模型（LLMs）的先进能力增强甚至革新推荐系统的实用工具包。RecAI提供一套工具，包括推荐AI智能体、面向推荐的语言模型、知识插件、RecExplainer以及评估器（Evaluator），从多维度促进LLMs与推荐系统的融合。由LLMs赋能的新一代推荐系统，预计将更具通用性、可解释性、对话性与可控性，为更智能且以用户为中心的推荐体验铺平道路。我们期望RecAI的开源能加速新一代先进推荐系统的演进。RecAI的源代码可在\url{https://github.com/microsoft/RecAI}获取。