Episode

We've all done RAG, now what?

Podcast
Practical AI
Published
Sep 29, 2025
Duration seconds
2615
Processing state
failed
Canonical source
https://share.transistor.fm/s/e13d399b
Audio
https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/e13d399b/bf9fec0b.mp3
JSON
/v1/public/podcasts/practical-ai/episodes/we-ve-all-done-rag-now-what
Markdown
/podcast/practical-ai/we-ve-all-done-rag-now-what.md

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Summary

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 Upcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the AI Engineering Lounge , where you can sit down with experts for hands-on guidance. Reserve your spot today! Register for upcoming webinars here !