RAG (Retrieval-Augmented Generation)

An AI pattern where a model retrieves relevant documents or data before generating a response, commonly built with low-code LLM tools. This concept helps organizations standardize how they deliver digital products while still giving expert builders room to customize where it matters. When combined with the Low Code Prompt Library and Low Code AI platform from LowCodeHub.com, it becomes a powerful prompt API-driven foundation for modern low-code products.