BigData, Machine-learning, AI & AnalyticsConference50min
From ChatGPT User to RAG Implementer A Developer's Journey
Discover how Spring AI and Retrieval-Augmented Generation (RAG) can transform documentation into a smart bot that answers product queries. Learn about embeddings, storing, and using them to create a bot with deep knowledge of your docs. Join the talk for a step-by-step breakdown of this innovative approach.
Pasha FinkelshteynBellSoft
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Thursday, June 19, 14:45-15:35
Linux
For ages, I was just another ChatGPT user—searching, brainstorming, you know the drill. But then Spring AI was released, and a light bulb went off: what if I index all our documentation and blog posts to build a bot that could actually answer users' questions about our products? As it turns out, there's a name for this magic trick—Retrieval-Augmented Generation (RAG).
Visit my talk for a wild ride as we break the RAG concept down bit by bit. We'll understand embeddings, figure out how to obtain and store them, and how we further work with them. And of course, the grand finale: creating a simple bot that knows our docs inside and out. Join me and let’s turn the Spring AI foundation into a really useful knowledge base helper!
Visit my talk for a wild ride as we break the RAG concept down bit by bit. We'll understand embeddings, figure out how to obtain and store them, and how we further work with them. And of course, the grand finale: creating a simple bot that knows our docs inside and out. Join me and let’s turn the Spring AI foundation into a really useful knowledge base helper!
Pasha Finkelshteyn
Years of experience in software engineering and the team's leading roles combined with his passion for Java made Pasha know all the hidden details in this IT niche. As a Developer Advocate for @Bellsoft, he educates the public on the latest software tools built by BellSoft and helps to create and test instruments for developers. He writes in Kotlin, speaks at conferences, composes a new articles, or maintains his pet projects.
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