What is Multimodal RAG, and Can We Build a Village with It?

Explore multimodal Retrieval-Augmented Generation (RAG) through an innovative conference talk that demonstrates how to enhance AI prompts using textual, visual, and audio data to create dynamic, lifelike non-player characters (NPCs) for video games. Learn the fundamentals of RAG technology and discover how it can transform static, hardcoded NPC responses into coherent, relevant interactions by querying custom data pools before processing through generative AI. Dive into advanced concepts where NPCs interact with each other, pursue individual goals, and move dynamically within game environments, all powered by complex RAG workflows. Master the setup of basic to advanced RAG systems using tools like Langchain4j, understanding both the challenges and benefits of implementing these technologies to provide up-to-date and factual responses. Gain practical insights into building RAG systems that go beyond traditional applications, with demonstrations that blend educational content with creative implementation ideas. Whether you're an experienced backend engineer or a developer looking for fresh approaches to AI integration, discover how multimodal RAG can revolutionize interactive character development and explore the potential for creating entire AI-driven virtual communities.