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From Memory-Hungry HNSW to Quantized SPANN: The Technical Evolution of Pinterest's Manas Platform
Pinterest reengineered its Manas search platform to replace memory‑heavy HNSW with scalar and product quantization, cutting index size by up to 93% while keeping recall above 70% and achieving 20‑30% cost savings. They also moved ANN storage to SSD using SPANN, gaining 3× query throughput over DiskANN with modest latency and recall impact.
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