Large-Scale Visual Similarity & Search System

Design a high-scale visual similarity system for a global e-commerce platform with a 100M+ item catalog. The system must support 'search-by-image' and 'similar product' recommendations with a P99 latency under 200ms. Your design should cover end-to-end data ingestion, embedding generation using deep vision models, efficient approximate nearest neighbor (ANN) retrieval at scale, and strategies for handling high QPS. Emphasize how you handle data freshness, model evaluation (online vs. offline), and the infrastructure required to serve and monitor these models in a production environment with constant catalog updates.

Vision TransformersSiamese NetworksHNSWTriplet LossTensorRTFAISSPyTorchSparkMilvusContrastive Learning

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Large-Scale Multi-Modal Image Search System

Design a high-scale image search system capable of handling 100 million images. The system must support both text-to-image and image-to-image queries with sub-200ms P99 latency. Your design should detail the multi-modal representation learning approach, the architecture for approximate nearest neighbor (ANN) search at scale, and how you ensure consistent embedding spaces between training and serving. Address data ingestion for billion-scale corpora and how you handle the reliability of the vector retrieval path.

CLIPTransformersViTHNSWFAISSProduct QuantizationSparkKafkaVector DatabaseInfoNCE Loss

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Large-Scale Visual Similarity & Search System

Vision TransformersSiamese NetworksHNSWTriplet LossTensorRTFAISSPyTorchSparkMilvusContrastive Learning

Read

Large-Scale Multi-Modal Image Search System

CLIPTransformersViTHNSWFAISSProduct QuantizationSparkKafkaVector DatabaseInfoNCE Loss

Read