Explainers

What is RAG (Retrieval-Augmented Generation)?

Retrieval-Augmented Generation (RAG) is a technique that improves the accuracy and relevance of Large Language Models (LLMs) by integrating external knowledge sources. It addresses LLM limitations by grounding responses in verifiable information, making AI outputs more reliable and informative.

What is RAG (Retrieval-Augmented Generation)?
Yuki Tanaka
Written by

Yuki Tanaka

Japanese technology correspondent tracking Sony AI, Toyota automation, SoftBank robotics, and METI AI policy.

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