<ul data-eligibleForWebStory="false"><li>Reflection in RAG involves assessing and critiquing system output for accuracy.</li><li>Planning in RAG involves thinking ahead and structuring the retrieval process.</li><li>Combining reflection and planning in RAG architecture enhances reliability and depth.</li><li>Transitioning from 'retrieve-then-generate' to 'think, plan, reflect, and generate' builds smarter AI systems.</li></ul>

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

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