Webinar
No Python? No Problem. Vector Database Applications with Milvus + ONNX Across Languages
Zilliz Webinar | Zoom
Join the Webinar
Loading...
About this webinar
Discover how to build powerful, language-agnostic vector database applications using ONNX with Milvus. We'll demonstrate how to integrate machine learning models for vector generation into your non-Python tech stack while leveraging the most popular open-source vector database.
Topics Covered
- Export and deploy machine learning models via ONNX for efficient vector generation across multiple programming languages
- Integrate vector search capabilities into JavaScript, C#, Go, or Rust applications without requiring Python
- Implement practical vector search techniques for applications in semantic search, recommendation systems, and similarity matching using Milvus
Meet the Speaker
Join the session for live Q&A with the speaker
Stefan Webb
Developer Advocate, Zilliz
Stefan Webb is a Developer Advocate at Zilliz, where he advocates for the open-source vector database, Milvus. Prior to this, he spent three years in industry as an Applied ML Researcher at Twitter and Meta, collaborating with product teams to tackle their most complex challenges. Stefan holds a PhD from the University of Oxford and has published papers at prestigious machine learning conferences such as NeurIPS, ICLR, and ICML. He is passionate about generative AI and is eager to leverage his deep technical expertise to contribute to the open-source community.