We delve into the innovative integration of Retrieval-Augmented Generation (RAG) and advanced engineering techniques to create a more human-like AI chatbot. We explore how the solution leverages saliency, recency, and emotional weight to remember relevant information while selectively forgetting unimportant details, mirroring the phenomenology of human memory. We demonstrate the chatbot’s enhanced ability to provide contextually rich and personalized interactions. Attendees will gain a comprehensive understanding of the underlying technologies and practical applications that make this AI assistant a groundbreaking advancement in conversational AI.