// glossary entry

RAG (Retrieval-Augmented Generation)

What is RAG?

RAG (Retrieval-Augmented Generation) is an AI pattern: before generating a response, a large language model draws on external knowledge sources, internal documents, wikis, product catalogs, or up-to-date databases, and uses the passages it finds as context. RAG reduces hallucinations, keeps information up to date, and enables company-specific assistants without the need for expensive model fine-tuning. At Waterproof Web Wizard, we build RAG setups for B2B clients with their own documentation, support knowledge bases, or product FAQs, this is often the pragmatic first step into AI beyond browser-based ChatGPT.

// synonyms

  • Retrieval-Augmented Generation
  • RAG
  • Knowledge-Based AI
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