Overview
Watch a comprehensive conference talk from GOTO Chicago 2024 where Java Champion and AI Practice Lead Mary Grygleski explores the integration of event streaming in multi-agentic generative AI workflows. Discover how real-time data streams can effectively coordinate autonomous agents to enhance AI applications, with detailed coverage of key concepts including Retrieval-Augmented Generation (RAG), vector databases, and similarity search. Learn about the evolution of generative AI, understand the major players in the field, and explore the intersection of event-driven architecture with artificial intelligence. Gain practical insights into the challenges of implementing GenAI systems and access valuable resources for further learning. The presentation provides a thorough examination of the architecture, technologies, and real-world applications that demonstrate how event streaming is transforming generative AI workflows.
Syllabus
Intro
Agenda
A brief intro & background of GenAl
Understanding the "players" in the GenAI era
The event-driven world & AI
Retrieval-Augmented Generation RAG
Vector DB & similarity search
Agents & multi-agentic workflows
Challenges of GenAI
Resources
Outro
Taught by
GOTO Conferences