Session

From ChatGPT User to RAG Implementer: A Developer's Journey

For ages, I was just another ChatGPT user—searching, brainstorming, you know the drill. But then Spring AI dropped, and a light bulb went off: What if I indexed all our documentation and blog posts to build a bot that could actually answer users' questions about our products? Turns out, there's a name for this magic trick—Retrieval-Augmented Generation (RAG).

Come along for a wild ride as we break the RAG concept down bit by bit. We'll demystify embeddings, figure out how to generate and store them, and learn how to stash all that juicy info in a database for quick access. And of course, the grand finale: creating a bot that knows our docs inside and out. Join me and let’s turn Spring AI into your next powerhouse for knowledge base!

Pasha Finkelshteyn

Developer Advocate

Berlin, Germany

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