RecAI bridges Large Language Models and recommender systems by exploring multiple integration strategies (LLM4Rec). It provides Recommender AI agents that enable natural interactions, personalized knowledge injection via prompting, and methods for fine-tuning language models as recommenders. The project includes evaluation frameworks and techniques for using LLMs as model explainers to create more interactive and user-centric recommendation experiences.