AI-Enhanced Visualization: Multimodal RAG Systems in Practice
Date:
Presentation Overview
Presented our award-winning AI-Enhanced Visualization project at Google Hackathon, demonstrating a multimodal AI system for connecting text and image data using pre-trained models. The presentation covered the implementation of RAG (Retrieval-Augmented Generation) system with vector database integration.
Key Topics Covered
- Multimodal AI Architecture: Design and implementation of text-image data integration
- RAG System Implementation: Retrieval-Augmented Generation with vector databases
- Technical Challenges: Solutions for enhanced query processing
- Real-world Applications: Practical use cases for multimodal AI systems
Impact
- Award Recognition: Won jury prize among 15 competing teams
- Technical Validation: Demonstrated exceptional learning ability in AI field
- Industry Recognition: Showcased practical implementation of cutting-edge AI technologies
Audience
Technical professionals, AI researchers, and industry experts at Google Hackathon event.