TwelveLabs + Qdrant: AI Systems for Video Embeddings and Search

​TwelveLabs and Qdrant join forces to show you how multimodal embeddings for video can be used in AI search and retrieval, in particular for Physical AI on devices and robots.

​What you'll learn:

• ​How embeddings work

• ​Multimodal (video, text, audio) embeddings in practice

• ​How to perform AI search on the edge (devices, robots, and more)

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About the Speakers:

​- Neil Kanungo leads Developer Relations at Qdrant. He loves Open Source communities, building with new tech, and sharing knowledge with others. When he's not fingers-on-keyboard, he's out camping or in a pub playing pinball.

- James Le leads Developer Experience at TwelveLabs, where the company builds video intelligence infrastructure that enables production-grade video understanding across sports organizations, media workflows, and security applications. His work focuses on translating video AI research capabilities into deployment-ready architectures for organizations building vision-enabled intelligent systems.