Retrieval-Augmented Action (RAA)

An extension of RAG (Retrieval-Augmented Generation) where the AI agent not only retrieves relevant information but also takes actions based on what it finds. In standard RAG, the agent retrieves documents and generates a text response. In RAA, the agent retrieves context, reasons about it, and then executes actions—updating records, sending notifications, triggering workflows, or making API calls. RAA is the pattern behind agents that don't just answer questions but actually resolve issues: a support agent retrieves the customer's order history, identifies the problem, and processes the refund in one flow.