Insights on Context & Memory for a Supportive Assistant

Building supportive AI assistants requires the engineering of conversational context without dilution. We will cover the stages of conversation: setting initial context foundations; using summarizers and memory types (short/long/persistent) as conversations grow; and leveraging RAG for permanent knowledge and graph structures for dynamic information on entities. Includes practical implementation details like audio capabilities and observability.