Skip to content

Multi-Vector Distance Benchmarks #1027

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
suri-kumkaran wants to merge 9 commits into
base: main
Choose a base branch
from
Open

Multi-Vector Distance Benchmarks #1027

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
77cc936
Add benchmark crate for multi-vector
suri-kumkaran May 6, 2026
54a21ec
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
f3a5d9f
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
8efdbcd
Move some repetetive code to macros and add more benchmark cases
May 6, 2026
74d1cae
Merge branch 'main' into users/suryangupta/multi-vector-benchmark
suri-kumkaran May 7, 2026
3a89c37
Add Cargo.lock
suri-kumkaran May 7, 2026
96d17b3
Remove unused scalar benchmark config file
suri-kumkaran May 7, 2026
6b33719
Revert "Remove unused scalar benchmark config file"
suri-kumkaran May 7, 2026
d06df7e
Fold the new crate to existing diskann-benchmark crate
suri-kumkaran May 12, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions diskann-benchmark/Cargo.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,9 @@ scalar-quantization = []
# Enable minmax-quantization based algorithms
minmax-quantization = []

# Enable multi-vector distance benchmarks (Chamfer / MaxSim)
multi-vector = []

# Enable Disk Index benchmarks
disk-index = [
"diskann-disk/perf_test",
Expand Down
47 changes: 47 additions & 0 deletions diskann-benchmark/example/multi-vector-test.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,47 @@
{
"search_directories": [],
"jobs": [
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"implementation": "optimized",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"implementation": "optimized",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"implementation": "reference",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"implementation": "reference",
"runs": [
{ "operation": "max_sim", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 2, "num_measurements": 1 }
]
}
}
]
}
117 changes: 117 additions & 0 deletions diskann-benchmark/example/multi-vector.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,117 @@
{
"search_directories": [],
"jobs": [
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"implementation": "optimized",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 },

{ "operation": "max_sim", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"implementation": "optimized",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 },

{ "operation": "max_sim", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float32",
"implementation": "reference",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 },

{ "operation": "max_sim", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
},
{
"type": "multi-vector-op",
"content": {
"element_type": "float16",
"implementation": "reference",
"runs": [
{ "operation": "chamfer", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "chamfer", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 },

{ "operation": "max_sim", "num_query_vectors": 8, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 500, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 16, "num_doc_vectors": 64, "dim": 256, "loops_per_measurement": 100, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 128, "dim": 384, "loops_per_measurement": 20, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 16, "dim": 256, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 264, "loops_per_measurement": 50, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 1250, "dim": 128, "loops_per_measurement": 10, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 1250, "dim": 512, "loops_per_measurement": 2, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 64, "num_doc_vectors": 32, "dim": 128, "loops_per_measurement": 200, "num_measurements": 50 },
{ "operation": "max_sim", "num_query_vectors": 32, "num_doc_vectors": 32, "dim": 512, "loops_per_measurement": 50, "num_measurements": 50 }
]
}
}
]
}
16 changes: 16 additions & 0 deletions diskann-benchmark/perf_test_inputs/multi-vector-tolerance.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
{
"checks": [
{
"input": {
"type": "multi-vector-op",
"content": {}
},
"tolerance": {
"type": "multi-vector-tolerance",
"content": {
"min_time_regression": 0.05
}
}
}
]
}
2 changes: 2 additions & 0 deletions diskann-benchmark/src/backend/mod.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,10 +7,12 @@ mod disk_index;
mod exhaustive;
mod filters;
mod index;
mod multi_vector;

pub(crate) fn register_benchmarks(registry: &mut diskann_benchmark_runner::registry::Benchmarks) {
exhaustive::register_benchmarks(registry);
disk_index::register_benchmarks(registry);
index::register_benchmarks(registry);
filters::register_benchmarks(registry);
multi_vector::register_benchmarks(registry);
}
Loading
Loading