What is RAG and what role does it play for AI agents?
RAG stands for Retrieval-Augmented Generation. The principle: before a language model responds, relevant information is retrieved from a knowledge base and provided as context. This allows an agent to access internal company knowledge without the model itself being trained on it.
RAG is the foundation that enables agents to work with current, company-specific data: policies, product catalogs, contract content, process documentation.
Ready when you are
Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.
Since 2017, we have been building AI systems that transform businesses. Let's talk about yours.
