nodedb-vector 0.3.0-beta.1

Shared vector engine (HNSW index + distance functions) for NodeDB Origin and Lite
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
// SPDX-License-Identifier: Apache-2.0

use std::cell::RefCell;
use std::sync::Arc;

use crate::distance::dispatch::distance_typed;
use crate::distance::distance;
use crate::dtype::cast_from_f32;
use crate::hnsw::arena::BeamSearchArena;
use nodedb_types::vector_dtype::VectorStorageDtype;

use super::types::{Node, NodeStorage, Xorshift64};
use super::{ARENA_INITIAL_CAPACITY, MAX_LAYER_CAP};
pub use nodedb_types::hnsw::HnswParams;

/// Hierarchical Navigable Small World graph index.
///
/// - FP32 construction for structural integrity
/// - Heuristic neighbor selection (Algorithm 4)
/// - Beam search with configurable ef parameter
pub struct HnswIndex {
    pub(crate) params: HnswParams,
    pub(crate) dim: usize,
    pub(crate) nodes: Vec<Node>,
    pub(crate) entry_point: Option<u32>,
    pub(crate) max_layer: usize,
    pub(crate) rng: Xorshift64,
    /// Flat neighbor storage for zero-copy access after checkpoint restore.
    /// When present, `neighbors_at()` reads from here instead of per-node Vecs.
    /// Cleared on first mutation (insert/delete).
    pub(crate) flat_neighbors: Option<crate::hnsw::flat_neighbors::FlatNeighborStore>,
    /// Optional backing store for vector data.
    ///
    /// When set (graph-checkpoint-only restore path), per-node vector storage
    /// is left empty and `dist_to_node` falls through to the backing.  Origin
    /// never sets this field; it is only used by Lite's pagedb segment path.
    #[cfg(not(target_arch = "wasm32"))]
    pub(crate) backing: Option<Arc<dyn crate::segment_backing::VectorSegmentBacking>>,
    /// Per-invocation scratch arena for beam-search heaps.
    ///
    /// Wrapped in `RefCell` so search methods keep `&self` receivers without
    /// forcing `&mut self` across all call sites.  The borrow is taken at the
    /// start of `search_layer` and released before returning.  The arena must
    /// never be borrowed twice simultaneously — it is a per-call scratch buffer
    /// owned exclusively by one Data Plane core.
    pub(crate) arena: RefCell<BeamSearchArena>,
}

impl HnswIndex {
    /// Get neighbors of a node at a specific layer.
    /// Uses flat zero-copy storage if available, otherwise per-node Vec.
    #[inline]
    pub(crate) fn neighbors_at(&self, node_id: u32, layer: usize) -> &[u32] {
        if let Some(ref flat) = self.flat_neighbors {
            return flat.neighbors_at(node_id, layer);
        }
        let node = &self.nodes[node_id as usize];
        if layer < node.neighbors.len() {
            &node.neighbors[layer]
        } else {
            &[]
        }
    }

    /// Number of layers a node participates in.
    #[inline]
    pub(crate) fn node_num_layers(&self, node_id: u32) -> usize {
        if let Some(ref flat) = self.flat_neighbors {
            return flat.num_layers(node_id);
        }
        self.nodes[node_id as usize].neighbors.len()
    }

    /// Ensure mutable per-node neighbor Vecs are available.
    /// Materializes flat storage back to per-node Vecs if needed.
    pub(crate) fn ensure_mutable_neighbors(&mut self) {
        if let Some(flat) = self.flat_neighbors.take() {
            let nested = flat.to_nested(self.nodes.len());
            for (i, layers) in nested.into_iter().enumerate() {
                self.nodes[i].neighbors = layers;
            }
        }
    }
}

impl HnswIndex {
    /// The distance metric this index was built with. Search-time metric
    /// overrides must match this; differing metrics require either rebuilding
    /// the index or a metric-aware re-rank pass.
    pub fn metric(&self) -> crate::distance::DistanceMetric {
        self.params.metric
    }

    /// Create a new empty HNSW index.
    pub fn new(dim: usize, params: HnswParams) -> Self {
        let initial_capacity = params.ef_construction.max(ARENA_INITIAL_CAPACITY);
        Self {
            dim,
            nodes: Vec::new(),
            entry_point: None,
            max_layer: 0,
            rng: Xorshift64::new(42),
            flat_neighbors: None,
            arena: RefCell::new(BeamSearchArena::new(initial_capacity)),
            params,
            #[cfg(not(target_arch = "wasm32"))]
            backing: None,
        }
    }

    /// Create with a specific RNG seed (for deterministic testing).
    pub fn with_seed(dim: usize, params: HnswParams, seed: u64) -> Self {
        let initial_capacity = params.ef_construction.max(ARENA_INITIAL_CAPACITY);
        Self {
            dim,
            nodes: Vec::new(),
            entry_point: None,
            max_layer: 0,
            rng: Xorshift64::new(seed),
            flat_neighbors: None,
            arena: RefCell::new(BeamSearchArena::new(initial_capacity)),
            params,
            #[cfg(not(target_arch = "wasm32"))]
            backing: None,
        }
    }

    /// Attach a [`VectorSegmentBacking`] to this index.
    ///
    /// After calling this, `dist_to_node` will fall back to the backing whenever
    /// a node's local vector storage is empty.  This is used by Lite's
    /// graph-checkpoint-only restore path: the graph topology is loaded from the
    /// B+ tree blob, but vector data lives in a pagedb segment.
    ///
    /// Origin never calls this — its node arenas are always populated.
    #[cfg(not(target_arch = "wasm32"))]
    pub fn with_backing(
        &mut self,
        b: Arc<dyn crate::segment_backing::VectorSegmentBacking>,
    ) -> &mut Self {
        self.backing = Some(b);
        self
    }

    pub fn len(&self) -> usize {
        self.nodes.len()
    }

    pub fn live_count(&self) -> usize {
        self.nodes.len() - self.tombstone_count()
    }

    pub fn tombstone_count(&self) -> usize {
        self.nodes.iter().filter(|n| n.deleted).count()
    }

    /// Tombstone ratio: fraction of nodes that are deleted.
    pub fn tombstone_ratio(&self) -> f64 {
        if self.nodes.is_empty() {
            0.0
        } else {
            self.tombstone_count() as f64 / self.nodes.len() as f64
        }
    }

    pub fn is_empty(&self) -> bool {
        self.live_count() == 0
    }

    /// Soft-delete a vector by internal node ID.
    pub fn delete(&mut self, id: u32) -> bool {
        if let Some(node) = self.nodes.get_mut(id as usize) {
            if node.deleted {
                return false;
            }
            node.deleted = true;
            true
        } else {
            false
        }
    }

    pub fn is_deleted(&self, id: u32) -> bool {
        self.nodes.get(id as usize).is_none_or(|n| n.deleted)
    }

    pub fn undelete(&mut self, id: u32) -> bool {
        if let Some(node) = self.nodes.get_mut(id as usize)
            && node.deleted
        {
            node.deleted = false;
            return true;
        }
        false
    }

    pub fn dim(&self) -> usize {
        self.dim
    }

    /// Storage dtype this index was constructed with.
    pub fn dtype(&self) -> VectorStorageDtype {
        self.params.dtype
    }

    /// Returns a `&[f32]` view of the stored vector for node `id`.
    ///
    /// Returns `Some` only when the index dtype is `F32`. For `F16` or `BF16`
    /// indexes this method returns `None` — use [`Self::get_vector_bytes`]
    /// instead and decode via [`crate::dtype::cast_to_f32`] if an f32 view is
    /// needed.
    ///
    /// In debug builds, calling this on a non-F32 index triggers a
    /// `debug_assert!` to flag misuse early. In release builds the
    /// `debug_assert!` is a no-op and `None` is returned silently.
    pub fn get_vector(&self, id: u32) -> Option<&[f32]> {
        debug_assert!(
            self.params.dtype == VectorStorageDtype::F32,
            "get_vector: called on non-F32 index (dtype={}); use get_vector_bytes instead",
            self.params.dtype,
        );
        self.nodes
            .get(id as usize)
            .and_then(|n| n.storage.as_f32_slice())
    }

    /// Dtype-agnostic byte view of the stored vector for node `id`.
    ///
    /// Returns `None` if `id` is out of range. Pair the returned slice with
    /// [`Self::dtype`] to interpret the encoding.
    pub fn get_vector_bytes(&self, id: u32) -> Option<&[u8]> {
        self.nodes.get(id as usize).map(|n| n.storage.as_bytes())
    }

    /// Returns a `&[f32]` view of the stored vector for node `id`, consulting
    /// the pagedb segment backing when the node's local storage is empty.
    ///
    /// This is the rerank-safe variant for Lite's graph-checkpoint-only restore
    /// path: after `from_checkpoint` + `with_backing`, per-node vectors are
    /// empty placeholders and must be fetched through the backing.
    ///
    /// Returns `None` when `id` is out of range, the node has no local vector
    /// and no backing is set, or the backing does not contain `id`.
    ///
    /// Only available on non-WASM targets (the backing type requires mmap).
    #[cfg(not(target_arch = "wasm32"))]
    pub fn get_vector_or_backing(&self, id: u32) -> Option<&[f32]> {
        let node = self.nodes.get(id as usize)?;
        let local = node.storage.as_f32_slice();
        // If local storage is non-empty, return it directly.
        if let Some(v) = local
            && !v.is_empty()
        {
            return Some(v);
        }
        // Local storage is empty — try the segment backing.
        if let Some(ref b) = self.backing {
            return b.get_vector(id);
        }
        // No backing and empty local storage: caller gets None.
        None
    }

    /// Extract all node vectors as owned F32 vecs for segment serialization.
    ///
    /// Non-F32 nodes are decoded to F32 via byte-level reinterpretation or
    /// dtype conversion.  Nodes whose storage is empty (graph-checkpoint-only
    /// restore) produce an empty vec for that slot.
    ///
    /// The second tuple element is always empty — `HnswIndex` has no surrogate
    /// map.  Surrogates live at the `VectorCollection` layer in Origin.  Lite
    /// passes an empty slice so `write_vector_segment` writes no surrogate block.
    pub fn extract_vectors_and_surrogates(&self) -> (Vec<Vec<f32>>, Vec<u64>) {
        let vectors = self
            .nodes
            .iter()
            .map(|node| match &node.storage {
                super::types::NodeStorage::F32(v) => v.clone(),
                super::types::NodeStorage::Bytes { bytes, dtype } => {
                    crate::dtype::cast_to_f32(bytes, *dtype, self.dim).unwrap_or_default()
                }
            })
            .collect();
        (vectors, Vec::new())
    }

    pub fn params(&self) -> &HnswParams {
        &self.params
    }

    pub fn entry_point(&self) -> Option<u32> {
        self.entry_point
    }

    pub fn max_layer(&self) -> usize {
        self.max_layer
    }

    /// Current RNG state (for snapshot reproducibility).
    pub fn rng_state(&self) -> u64 {
        self.rng.0
    }

    /// Approximate memory usage in bytes (vector data + neighbor lists).
    pub fn memory_usage_bytes(&self) -> usize {
        let vector_bytes = self.nodes.len() * self.params.dtype.bytes_for_dim(self.dim);
        let neighbor_bytes: usize = self
            .nodes
            .iter()
            .map(|n| {
                n.neighbors
                    .iter()
                    .map(|layer| layer.len() * 4)
                    .sum::<usize>()
            })
            .sum();
        let node_overhead = self.nodes.len() * std::mem::size_of::<Node>();
        vector_bytes + neighbor_bytes + node_overhead
    }

    /// Export all vectors as F32 for snapshot transfer.
    ///
    /// For F32 indexes this is a clone. For F16/BF16 indexes each vector is
    /// decoded to F32 on the fly.
    pub fn export_vectors(&self) -> Vec<Vec<f32>> {
        self.nodes
            .iter()
            .map(|n| match &n.storage {
                NodeStorage::F32(v) => v.clone(),
                NodeStorage::Bytes { dtype, bytes } => {
                    crate::dtype::cast_to_f32(bytes, *dtype, self.dim)
                        .expect("export_vectors: byte-length invariant violated")
                }
            })
            .collect()
    }

    /// Export all neighbor lists for snapshot transfer.
    pub fn export_neighbors(&self) -> Vec<Vec<Vec<u32>>> {
        self.nodes.iter().map(|n| n.neighbors.clone()).collect()
    }

    /// Assign a random layer using the exponential distribution.
    ///
    /// Capped at `MAX_LAYER_CAP` to prevent pathological RNG draws from
    /// promoting the index's `max_layer` to hundreds or thousands, which
    /// would make every search's Phase-1 greedy descent O(max_layer).
    pub(crate) fn random_layer(&mut self) -> usize {
        let ml = 1.0 / (self.params.m as f64).ln();
        let r = self.rng.next_f64().max(f64::MIN_POSITIVE);
        let layer = (-r.ln() * ml).floor() as usize;
        layer.min(MAX_LAYER_CAP)
    }

    /// Compute distance between a pre-encoded query and a stored node.
    ///
    /// `query_bytes` must already be encoded in `self.params.dtype`; callers
    /// encode once at the top of search/insert and pass the same buffer to
    /// every `dist_to_node` call within that operation.
    ///
    /// When the node's local vector storage is empty (graph-checkpoint-only
    /// restore) and a `backing` is attached, the vector bytes are fetched from
    /// the backing.  This is the Lite cold-load path; Origin never hits it.
    pub(crate) fn dist_to_node(&self, query_bytes: &[u8], node_id: u32) -> f32 {
        let node_bytes = self.nodes[node_id as usize].storage.as_bytes();
        #[cfg(not(target_arch = "wasm32"))]
        let node_bytes: &[u8] = if node_bytes.is_empty() {
            if let Some(ref b) = self.backing {
                // Backing stores F32 only; convert slice to bytes for distance_typed.
                if let Some(v) = b.get_vector(node_id) {
                    // SAFETY: &[f32] → &[u8] cast via bytemuck is always safe.
                    bytemuck::cast_slice(v)
                } else {
                    node_bytes
                }
            } else {
                node_bytes
            }
        } else {
            node_bytes
        };
        distance_typed(
            self.params.metric,
            self.params.dtype,
            query_bytes,
            node_bytes,
            self.dim,
        )
        .expect("dist_to_node: byte-length mismatch; byte lengths are validated at insert")
    }

    /// Compute distance between a query given as `&[f32]` and a stored node.
    ///
    /// For F32 indexes this is a direct call to `distance`. For F16/BF16
    /// indexes the query is encoded to the storage dtype on each call, which
    /// is an allocation. Prefer pre-encoding the query once via
    /// [`crate::dtype::cast_from_f32`] and calling [`Self::dist_to_node`]
    /// for hot-path code such as search.
    #[allow(dead_code)]
    pub(crate) fn dist_to_node_f32(&self, query: &[f32], node_id: u32) -> f32 {
        match self.params.dtype {
            VectorStorageDtype::F32 => distance(
                query,
                self.nodes[node_id as usize]
                    .storage
                    .as_f32_slice()
                    .expect("F32 dtype must have F32 storage"),
                self.params.metric,
            ),
            _ => {
                let query_bytes = cast_from_f32(query, self.params.dtype);
                self.dist_to_node(&query_bytes, node_id)
            }
        }
    }

    /// Max neighbors allowed at a given layer.
    pub(crate) fn max_neighbors(&self, layer: usize) -> usize {
        if layer == 0 {
            self.params.m0
        } else {
            self.params.m
        }
    }

    /// Compact the index by removing all tombstoned nodes.
    ///
    /// Returns the number of removed nodes. See `compact_with_map` for the
    /// variant that also returns the old→new id remapping.
    pub fn compact(&mut self) -> usize {
        self.compact_with_map().0
    }

    /// Compact and return both the removed count and the old→new id map.
    ///
    /// `id_map[old_local]` = new_local, or `u32::MAX` if the node was
    /// tombstoned (removed).
    pub fn compact_with_map(&mut self) -> (usize, Vec<u32>) {
        let tombstone_count = self.tombstone_count();
        if tombstone_count == 0 {
            let identity: Vec<u32> = (0..self.nodes.len() as u32).collect();
            return (0, identity);
        }
        self.ensure_mutable_neighbors();

        let mut id_map: Vec<u32> = Vec::with_capacity(self.nodes.len());
        let mut new_id = 0u32;
        for node in &self.nodes {
            if node.deleted {
                id_map.push(u32::MAX);
            } else {
                id_map.push(new_id);
                new_id += 1;
            }
        }

        let mut new_nodes: Vec<Node> = Vec::with_capacity(new_id as usize);
        for node in self.nodes.drain(..) {
            if node.deleted {
                continue;
            }
            let remapped_neighbors: Vec<Vec<u32>> = node
                .neighbors
                .into_iter()
                .map(|layer_neighbors| {
                    layer_neighbors
                        .into_iter()
                        .filter_map(|old_nid| {
                            let new_nid = id_map[old_nid as usize];
                            if new_nid == u32::MAX {
                                None
                            } else {
                                Some(new_nid)
                            }
                        })
                        .collect()
                })
                .collect();
            new_nodes.push(Node {
                storage: node.storage,
                neighbors: remapped_neighbors,
                deleted: false,
            });
        }

        self.entry_point = if let Some(old_ep) = self.entry_point {
            let new_ep = id_map[old_ep as usize];
            if new_ep == u32::MAX {
                new_nodes
                    .iter()
                    .enumerate()
                    .max_by_key(|(_, n)| n.neighbors.len())
                    .map(|(i, _)| i as u32)
            } else {
                Some(new_ep)
            }
        } else {
            None
        };

        self.max_layer = new_nodes
            .iter()
            .map(|n| n.neighbors.len().saturating_sub(1))
            .max()
            .unwrap_or(0);

        self.nodes = new_nodes;
        (tombstone_count, id_map)
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::distance::DistanceMetric;
    use nodedb_types::vector_dtype::VectorStorageDtype;

    fn make_params(dtype: VectorStorageDtype) -> HnswParams {
        HnswParams {
            m: 4,
            m0: 8,
            ef_construction: 32,
            metric: DistanceMetric::L2,
            dtype,
        }
    }

    #[test]
    fn create_empty_index() {
        let idx = HnswIndex::new(3, HnswParams::default());
        assert_eq!(idx.len(), 0);
        assert!(idx.is_empty());
        assert!(idx.entry_point().is_none());
    }

    #[test]
    fn params_default() {
        let p = HnswParams::default();
        assert_eq!(p.m, 16);
        assert_eq!(p.m0, 32);
        assert_eq!(p.ef_construction, 200);
        assert_eq!(p.metric, DistanceMetric::Cosine);
        assert_eq!(p.dtype, VectorStorageDtype::F32);
    }

    #[test]
    fn candidate_ordering() {
        let a = super::super::types::Candidate { dist: 0.1, id: 1 };
        let b = super::super::types::Candidate { dist: 0.5, id: 2 };
        assert!(a < b);
    }

    #[test]
    fn f32_default_unchanged() {
        let mut idx = HnswIndex::with_seed(3, make_params(VectorStorageDtype::F32), 1);
        assert_eq!(idx.dtype(), VectorStorageDtype::F32);
        for i in 0..10u32 {
            idx.insert(vec![i as f32, 0.0, 0.0]).unwrap();
        }
        // get_vector works on F32 indexes.
        let v = idx.get_vector(3).unwrap();
        assert_eq!(v[0], 3.0_f32);
        // get_vector_bytes also works.
        assert_eq!(idx.get_vector_bytes(3).unwrap().len(), 12); // 3 dims * 4 bytes
    }

    #[test]
    fn f16_insert_search_smoke() {
        let mut idx = HnswIndex::with_seed(3, make_params(VectorStorageDtype::F16), 42);
        assert_eq!(idx.dtype(), VectorStorageDtype::F16);
        for i in 0..10u32 {
            idx.insert(vec![i as f32, 0.0, 0.0]).unwrap();
        }
        let results = idx.search(&[5.0, 0.0, 0.0], 3, 32);
        assert_eq!(results.len(), 3);
        // Results must be in monotonically non-decreasing distance order.
        for w in results.windows(2) {
            assert!(
                w[0].distance <= w[1].distance,
                "results not sorted: {:?}",
                results
            );
        }
    }

    #[test]
    fn bf16_insert_search_smoke() {
        let mut idx = HnswIndex::with_seed(3, make_params(VectorStorageDtype::BF16), 42);
        assert_eq!(idx.dtype(), VectorStorageDtype::BF16);
        for i in 0..10u32 {
            idx.insert(vec![i as f32, 0.0, 0.0]).unwrap();
        }
        let results = idx.search(&[5.0, 0.0, 0.0], 3, 32);
        assert_eq!(results.len(), 3);
        for w in results.windows(2) {
            assert!(
                w[0].distance <= w[1].distance,
                "results not sorted: {:?}",
                results
            );
        }
    }

    #[test]
    fn get_vector_returns_none_on_non_f32_dtype() {
        let mut idx = HnswIndex::with_seed(3, make_params(VectorStorageDtype::F16), 1);
        idx.insert(vec![1.0, 2.0, 3.0]).unwrap();
        // get_vector_bytes works for F16; get_vector does not (returns None in
        // release, fires debug_assert in dev — so we only assert None in release).
        assert!(idx.get_vector_bytes(0).is_some());
        #[cfg(not(debug_assertions))]
        assert!(idx.get_vector(0).is_none());
    }

    #[test]
    fn get_vector_bytes_works_for_all_dtypes() {
        for (dtype, expected_byte_len) in [
            (VectorStorageDtype::F32, 12usize), // 3 dims * 4 bytes
            (VectorStorageDtype::F16, 6usize),  // 3 dims * 2 bytes
            (VectorStorageDtype::BF16, 6usize), // 3 dims * 2 bytes
        ] {
            let mut idx = HnswIndex::with_seed(3, make_params(dtype), 1);
            idx.insert(vec![1.0, 2.0, 3.0]).unwrap();
            let bytes = idx.get_vector_bytes(0).expect("must be Some for valid id");
            assert_eq!(
                bytes.len(),
                expected_byte_len,
                "wrong byte len for dtype={dtype:?}"
            );
        }
    }
}