Retrieval Augmented Generation(RAG)
An AI architecture where the model fetches relevant documents from a knowledge base before generating a response, improving accuracy on specific or recent information.
RAG is how most production AI applications handle company-specific data. The model doesn't 'know' your business directly; it retrieves relevant context from your documents at query time and uses that to generate an answer. More accurate and updateable than fine-tuning for most use cases.
Want this explained for your business?
Send us a message. We'll walk through what it means for you: no commitment, no sales pitch.