Simplify Building AI-Native: Embedding Models and Vector Databases
2024.12.12-Weaviate-LandingPage-1540x660-DO-1

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Thursday, December 12

3 pm ET

The AI tech stack is evolving rapidly, with new models, services, and infrastructure emerging daily. Open source tools offer enterprises control, flexibility, and cutting-edge innovation—but self-hosting isn’t without challenges. Join Charles Pierse, Head of Weaviate Labs and Alvin Richards, Head of Product, for a practical look at embedding models and vector databases and how the right mix can fast-track your AI projects in 2025.

Key Takeaways:
  • How to choose the best embedding model for your needs
  • Techniques for optimizing performance and costs
  • Cloud strategies for speeding up AI-native development

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Charles Pierse

Charles Pierse

Head of Weaviate Labs - Weaviate
Charles leads a team dedicated to researching and developing new AI-native services that complement and expand the Weaviate ecosystem. With years of experience in AI startups, Charles has honed his expertise in search, recommendation systems, and machine learning solutions for production environments. His approach to problem solving is rooted in a user-centric product perspective, and he thrives on addressing challenges in a scalable manner through AI and ML technologies.
Alvin Richards

Alvin Richards

Head of Product - Weaviate
Alvin Richards leads Product at Weaviate. At heart he's an engineer that likes to talk to people, so he connects the dots between the what/why of the users needs with the how/when of the innovation that engineering delivers. He's worked on just about every database technology that you have used.