Session
Building a RAG System for Video Search and Analysis
This talk addresses the challenge of making video content searchable and analyzable using modern AI techniques. While text and image RAG systems are common, video presents unique challenges due to its multimodal nature combining visual frames and audio content.
Key Takeaways:
- Implement multimodal RAG architecture for video content
- Master vector embedding techniques for frames and audio
- Build efficient vector search capabilities using PostgreSQL
- Deploy production-ready video content analysis solutions
Elizabeth Fuentes Leone
Developer Advocate
San Francisco, California, United States
Links
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