Sessions

Practical Agentic RAG with SpringAI in Modern Enterprise Applications

Dan Dobrin - Google

Build more capable and reliable AI systems by combining retrieval-augmented generation’s (RAG) context-aware information retrieval with agentic decision making into an Enterprise AI platform, all in Java and powered by SpringAI.

This session covers everything from architecture, context construction, model routing, action planning to dynamic retrieval and recursive reasoning, while implementing essential guardrails and monitoring systems for safe deploys.

We cover best practices, trade-offs, performance and advanced techniques like evaluations and model context protocol(MCP), while leveraging the latest Gemini Flash, Pro and open models!