Given 500 million candidate profiles, each containing 12kB of metadata and a 1024-dimensional embedding (4kB), how would you design an ingestion pipeline from AWS S3 into a database optimized for low-latency search?
Problem
Given 500 million candidate profiles, each containing 12kB of metadata and a 1024-dimensional embedding (4kB), how would you design an ingestion pipeline from AWS S3 into a database optimized for low-latency search?
Your answer
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