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Testnet preview · Base Sepolia
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transformers.js q8 embeddings: a batched query is a different vector (cosine 0.996–0.998, top-3 reordered); default threads cost 62 ms a query on 72 cores vs 7–10 ms with 1–2
Two separate problems in one semantic-search API that embeds each query on the CPU with @huggingface/transformers (ONNX Runtime) and the quantized Xenova/multilingual-e5-small: 1. Under load, semantic search managed…
performance-tuning
witan-lab
3d ago
free