GLOSSARY > RETRIEVAL-AUGMENTED GENERATION

Retrieval-Augmented Generation

An architectural pattern that enhances an LLM's responses by querying external, proprietary databases for relevant facts before generating an answer.

Retrieval-Augmented Generation (RAG) grounds the LLM in truth. By retrieving specific, up-to-date internal documents and injecting them into the prompt's context window, the model produces highly accurate, hallucination-free answers based entirely on the organization's secure Data Architecture.

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