Technique

Retrieval-Augmented Generation

End-to-end pattern combining retrieval with generation to ground answers in fresh data.

Definition

RAG is the production pattern: embed user query, retrieve top-k chunks from a vector DB, stuff them into a prompt with the user question, generate a grounded answer with citations. The first step that most LLM applications take after a naive chat prototype.

Common use cases

  • Knowledge bases
  • Internal search
  • Documentation chat

Related terms

    Retrieval-Augmented Generation — AI Glossary | Railwail