🔎 FAISS IVF+PQ vs Flat
Benchmark approximate search vs brute force on synthetic vectors.
N (database vectors)
↺
10000
500000
Nq (query vectors)
↺
50
2000
d (dimension)
↺
16
256
Top-k
↺
1
50
Metric
cosine
l2
IVF nlist (clusters)
↺
64
8192
IVF nprobe (clusters/search)
↺
1
128
PQ m (subquantizers)
↺
4
64
PQ nbits (bits per subspace)
↺
4
12
Random seed
↺
0
10000
Run Benchmark
Results
Status
Ready