Video

RAG vs. CAG

IBM Technology.March 17, 2025

Description

A practical explanation of retrieval-augmented generation and context-augmented generation, and how both approaches help AI systems work with information beyond the model’s base training.

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IBM Technology

IBM Technology

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Key Takeaways

  • RAG retrieves relevant external information when the model needs it.
  • CAG focuses on providing or managing context so the model has the right knowledge available.
  • Both approaches help address knowledge gaps in AI models.
  • The right approach depends on the knowledge source, freshness needs, latency, and workflow design.