RecAI introduces an ecosystem of tools that integrate LLMs into recommender systems, aiming to improve their versatility and personalization.

• Recommender AI Agent customizes suggestions.
• Recommendation-oriented Language Models tailor language processing to recommendation contexts.
• A Knowledge Plugin adds domain-specific insights.
• RecExplainer aids in making recommendation logic transparent.
• An Evaluator measures performance improvements.

RecAI’s source code is an open invitation for developers to create more conversational, controllable, and explainable recommendation systems.

The toolkit represents a significant step towards a more interactive and satisfying online shopping or content discovery experience, advancing the frontiers of e-commerce and digital services.