target audience: TECH BUYER  Publication date: May 2024 - Document type: IDC TechBrief - Doc  Document number: # US51676224

IDC TechBrief: Retrieval-Augmented Generation


  • Hayley Sutherland Loading
  • Stewart Bond Loading
  • Shari Lava Loading
  • Carl W. Olofson Loading
  • Andrew Gens Loading


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This IDC TechBrief describes the factors involved in leveraging retrieval-augmented generation (RAG) to get the most out of generative AI in the enterprise, including the various technology aspects and associated use cases, benefits, risks, and other considerations for and effects of implementing RAG.

"Retrieval-augmented generation is making enterprise adoption of generative AI more feasible and practical by augmenting LLMs with enterprise data using search techniques," said Hayley Sutherland, research manager, Knowledge Discovery and Conversational AI, IDC. "Forward-looking enterprises see the value of connecting their proprietary data to generative AI systems and should understand the RAG approach for doing this, as well as other methods of specializing and improving the accuracy of LLM output."


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