Building Scalable Cross-Modal Search with Ray | Ray Summit 2024 @anyscale
Building Scalable Cross-Modal Search with Ray | Ray Summit 2024  @anyscale
Uploaded October 2024 | Updated September 2026, 1 week ago
In the fast-paced world of e-commerce, visual search is revolutionizing how consumers find and purchase products. This lightning session unveils deepsense.ai's cutting-edge fashion image retrieval system, a powerful solution that harnesses the combined strengths of Anyscale Ray and Pinecone.

Artur Zygadlo and Natalia Czerep will dive into the architecture of their intuitive and scalable application, which leverages CLIP embeddings and vector similarity search to seamlessly bridge text-to-image and image-to-image queries. They'll explore how Ray Serve enables autoscaling for optimal performance, and demonstrate advanced parallelization techniques using Ray Data. This talk offers a practical blueprint for developers looking to construct high-performance, user-friendly cross-modal search applications in the retail space and beyond.

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Interested in more?
- Watch the full Day 1 Keynote: youtu.be/jwZHJthQvXo
- Watch the full Day 2 Keynote youtu.be/Lury2ad6KG8
- Check out the Ray Summmit Breakout sessions youtube.com/playlist?list=PLzTswPQNepXntmT8jr9WaNfqQ60QwW7-U&si=qPw-_SxT9lVmbRGE

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Building Scalable Cross-Modal Search with Ray | Ray Summit 2024

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