Squashed 'vendor/ruvector/' content from commit b64c2172

git-subtree-dir: vendor/ruvector
git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900

crates/ruvector-core/benches/hnsw_search.rs

@@ -0,0 +1,56 @@
+use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion};
+use ruvector_core::types::{DbOptions, DistanceMetric, HnswConfig, SearchQuery};
+use ruvector_core::{VectorDB, VectorEntry};
+
+fn bench_hnsw_search(c: &mut Criterion) {
+    let mut group = c.benchmark_group("hnsw_search");
+
+    // Create temp database
+    let temp_dir = tempfile::tempdir().unwrap();
+    let options = DbOptions {
+        dimensions: 128,
+        distance_metric: DistanceMetric::Cosine,
+        storage_path: temp_dir
+            .path()
+            .join("test.db")
+            .to_string_lossy()
+            .to_string(),
+        hnsw_config: Some(HnswConfig::default()),
+        quantization: None,
+    };
+
+    let db = VectorDB::new(options).unwrap();
+
+    // Insert test vectors
+    let vectors: Vec<VectorEntry> = (0..1000)
+        .map(|i| VectorEntry {
+            id: Some(format!("v{}", i)),
+            vector: (0..128).map(|j| ((i + j) as f32) * 0.1).collect(),
+            metadata: None,
+        })
+        .collect();
+
+    db.insert_batch(vectors).unwrap();
+
+    // Benchmark search
+    let query: Vec<f32> = (0..128).map(|i| i as f32).collect();
+
+    for k in [1, 10, 100].iter() {
+        group.bench_with_input(BenchmarkId::from_parameter(k), k, |bench, &k| {
+            bench.iter(|| {
+                db.search(SearchQuery {
+                    vector: black_box(query.clone()),
+                    k: black_box(k),
+                    filter: None,
+                    ef_search: None,
+                })
+                .unwrap()
+            });
+        });
+    }
+
+    group.finish();
+}
+
+criterion_group!(benches, bench_hnsw_search);
+criterion_main!(benches);