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We've all done RAG, now what?
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Daniel Whitenack and Chris Benson

· 44 Minutes

PodcastPractical AI

We've all done RAG, now what?

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Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.

Featuring:

  • Rajiv Shah – LinkedIn 
  • Daniel Whitenack – Website, GitHub, X

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Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

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