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Reflection vs Planning in RAG: Choosing the Right Design for Smarter AI

  • Reflection in RAG involves assessing and critiquing system output for accuracy.
  • Planning in RAG involves thinking ahead and structuring the retrieval process.
  • Combining reflection and planning in RAG architecture enhances reliability and depth.
  • Transitioning from 'retrieve-then-generate' to 'think, plan, reflect, and generate' builds smarter AI systems.

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