<div><div><div><div><span>This episode of <i>Techsplainers</i> explores retrieval augmented generation (RAG)—how connecting AI models to external knowledge sources creates more accurate, up-to-date responses.</span></div></div></div></div>

This episode of Techsplainers explores retrieval augmented generation (RAG)—how connecting AI models to external knowledge sources creates more accurate, up-to-date responses.

This episode of <i>Techsplainers</i> explores retrieval augmented generation (RAG)—how connecting AI models to external knowledge sources creates more accurate, up-to-date responses.

What is retrieval augmented generation (RAG)?

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.

This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.
Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

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Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new. This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning. Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

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What is retrieval augmented generation (RAG)?

What is retrieval augmented generation (RAG)?