Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning

The article introduces "Tell Me," a mental well-being assistant that utilizes a retrieval-augmented generation (RAG) model for personalized dialogue, a synthetic dialogue generator for client-therapist interactions, and an agentic planning system for self-care. Key features include the ability to generate context-aware, knowledge-grounded responses and weekly self-care plans, addressing the lack of therapeutic data through synthetic dialogue. This system aims to enhance accessibility to mental health resources and offers insights into the integration of NLP with mental health practices, presenting opportunities for innovation in AI-driven support systems.