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In the world of e-commerce, the hunt for the perfect purchase can be a wild adventure.
The impulse to find similar items fuels the search for visually comparable products. Here comes in handy a capacity to perform text2image and image2image search.
Motivated by the retail industry and the emerging trend of multimodality, we want to present our fashion images retrieval system using Anyscale Ray and Pinecone. It’s an intuitive and scalable application powered by CLIP embeddings and vector similarity search, capable of seamlessly retrieving images based on textual descriptions or visual prompts.
Furthermore, we will share insights into optimizing application performance using Ray Serve for autoscaling and employing parallelization techniques offered by Ray Data. We aim to empower developers by providing a practical roadmap for constructing similar applications, emphasizing efficiency, scalability, and user experience.
The impulse to find similar items fuels the search for visually comparable products. Here comes in handy a capacity to perform text2image and image2image search.
Motivated by the retail industry and the emerging trend of multimodality, we want to present our fashion images retrieval system using Anyscale Ray and Pinecone. It’s an intuitive and scalable application powered by CLIP embeddings and vector similarity search, capable of seamlessly retrieving images based on textual descriptions or visual prompts.
Furthermore, we will share insights into optimizing application performance using Ray Serve for autoscaling and employing parallelization techniques offered by Ray Data. We aim to empower developers by providing a practical roadmap for constructing similar applications, emphasizing efficiency, scalability, and user experience.
