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Retrieval-Augmented Generation

The full name for RAG, a technique that augments language model generation with information retrieved from external knowledge sources. RAG systems typically use embedding-based retrieval to find relevant documents before generating a response.

In practice

A RAG system for internal documentation retrieves relevant wiki pages before answering employee questions.

In the index

Tools that mention Retrieval-Augmented Generation

Matched on each tool’s own description and feature list, highest trust score first.

Briefings

Further reading