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 was released, and a light bulb went off: What if I indexed all our documentation and blog posts to build a bot that could answer users' questions about our products? As it turns out, there's a name for this magic trick—Retrieval-Augmented Generation (RAG).

Follow our 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 helpful knowledge base helper!

Speaker
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 create and test instruments for developers. He writes in Kotlin, speaks at conferences, composes new articles, or maintains his pet projects.

Schedule:
6:30PM-7:00PM EST Networking
7:00PM-8:00PM EST Presentation
8:00PM-8:30PM EST Q&A Discussion