⚡ Bolt: Vectorize HNSWIndex search for ~43x speedup - #17
⚡ Bolt: Vectorize HNSWIndex search for ~43x speedup#17google-labs-jules[bot] wants to merge 1 commit into
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Vectorized the HNSWIndex search in `memory/lightweight_vector_db.py` using NumPy matrix operations. Replaced the O(N) linear scan loop with efficient matrix-vector multiplication. Added `self.vectors_matrix` cache and lazy rebuilding logic. 💡 What: Vectorized HNSWIndex.search using NumPy 🎯 Why: Linear scan in Python loop was slow (0.08s for 10k items) 📊 Impact: Search time reduced from ~0.0824s to ~0.0019s (~43x faster) 🔬 Measurement: Verified with `tests/benchmark_vector_db.py`
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⚡ Bolt: Vectorize HNSWIndex search for ~43x speedup
Vectorized the HNSWIndex search in
memory/lightweight_vector_db.pyusing NumPy matrix operations.Replaced the O(N) linear scan loop with efficient matrix-vector multiplication.
Added
self.vectors_matrixcache and lazy rebuilding logic.💡 What: Vectorized HNSWIndex.search using NumPy
🎯 Why: Linear scan in Python loop was slow (0.08s for 10k items)
📊 Impact: Search time reduced from ~0.0824s to ~0.0019s (~43x faster)
🔬 Measurement: Verified with
tests/benchmark_vector_db.pyPR created automatically by Jules for task 14636731824104634118 started by @Rohith-Shimori