Let's RAG and roll: the role of content in LLM applications

Generative AI is often marketed as a magical tool—just upload
your data and let the model do the heavy lifting. But the reality
is far from simple. Retrieval-Augmented Generation (RAG) doesn’t
work without thoughtful preparation, clear strategy, and, most
importantly, quality content.


In this episode, we dive deep into the critical role content
plays in the success of AI systems like RAG. Join us as we speak
with seasoned content strategists and AI industry experts who
have been on the frontlines of managing and optimizing knowledge
bases for AI use cases. We’ll explore why the future of AI isn’t
about replacing writers—it’s about empowering content designers,
technical writers, and knowledge architects to create structured,
optimized, and actionable information that AI can truly work
with.


If you’ve ever wondered why your AI project underdelivered or how
to transform legacy content into a powerful AI resource, this
episode is for you.





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