⚡ Bolt: optimize synthetic embedding generation and vector normalization#200
⚡ Bolt: optimize synthetic embedding generation and vector normalization#200hackerxj2010 wants to merge 1 commit into
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Optimized synthetic embedding generation and vector math in `@jeanbot/ai`. - Replaced per-dimension hashing with a single SHA-256 hash and a Mulberry32 PRNG. - Replaced `toFixed(8)` with a faster `round8` utility using `Math.round`. - Optimized `normalizeVector` with a single pass and inverse multiplication. - Removed redundant normalization calls in the generation pipeline. - Added a benchmark script and unit tests to verify performance and correctness. Throughput increased from ~102 to ~4500 embeddings/sec (~45x gain). Co-authored-by: hackerxj2010 <198651211+hackerxj2010@users.noreply.github.com>
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💡 What: Optimized synthetic embedding generation and vector math in the
@jeanbot/aipackage.🎯 Why: The original implementation was bottlenecked by excessive hashing (one SHA-256 per dimension) and slow string-based rounding (
toFixed(8)) in hot loops.📊 Impact:
🔬 Measurement:
packages/ai/src/benchmark.ts.packages/ai/src/index.test.ts(determinism and normalization).🛡️ Note: Uses the modern
crypto.hashAPI (available in Node.js 22.22.1+ provided in the environment).PR created automatically by Jules for task 14641192464108532705 started by @hackerxj2010