RAG Systems: How Retrieval-Augmented Generation Works and Why Business Needs It

Retrieval-Augmented Generation (RAG) is one of the most important technologies in modern AI. It allows large language models to work with up-to-date and company-specific data.

What is RAG

RAG is an architectural approach that combines relevant information retrieval with response generation. Instead of relying solely on knowledge embedded during model training, a RAG system searches for needed information in the company's knowledge base and uses it to form accurate responses.

RAG Benefits for Business

RAG enables creating AI assistants that know your company's specifics: internal processes, products, documentation. This significantly improves response accuracy and reduces model hallucinations.