perf(agent): store embeddings once, not twice

MemoryCache held every embedding in two places: a `Vec<Vec<f32>>` and a
flattened copy for the batched kernels, kept in lock-step on every push,
update and compaction. A store loaded from disk therefore carried the corpus
twice, plus one heap allocation per entry.

A new `cache::Embeddings` owns just the flat `[N x dim]` buffer and indexes
into it, so `embeddings[i]` still reads as a `&[f32]` row. The batch kernels
take a `VectorSet` (implemented for both `Embeddings` and `Vec<Vec<f32>>`)
instead of `&[Vec<f32>]`, so their callers and tests are unchanged. Loading no
longer unflattens what it just read.

100k 384-dim entries, reopened from disk: 505 -> 357 MiB, 3.44x -> 2.43x the
raw vectors. Recall (1.0000 at ef=64) and query latency are unchanged.

Rows are now always exactly `dim` long, shorter ones zero-padded. The old
representation allowed ragged rows, which silently misaligned the flattened
copy — every row after a wrong-length embedding — and `update` carried a
comment about falling back to a rebuild to avoid exactly that. It is now
unrepresentable. A record saved without an embedding holds a zero row and is
told apart by its norm, which is what `total_embeddings` now counts.

Measured with a counting allocator rather than RSS: freeing a structure
returns its pages to the allocator's pool, not the OS, so an RSS reading from
inside the process showed the two representations as identical.

Breaking: MemoryCache::embeddings changes type, embeddings_flat is replaced by
flat_embeddings(), rebuild_flat() is a deprecated no-op.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
This commit is contained in:
osobh
2026-09-19 20:17:55 -07:00
co-authored by Claude Opus 5
parent dc0113d015
commit 2e7e0456c1
9 changed files with 429 additions and 103 deletions
+162 -48
View File
@@ -2,16 +2,143 @@
use crate::vector_search;
/// Every entry's embedding, in one contiguous `[N x dim]` buffer.
///
/// Rows are always exactly `dim` long: a shorter one is zero-padded, a longer
/// one truncated. The previous `Vec<Vec<f32>>` allowed ragged rows, which
/// silently misaligned the flattened copy that the batched kernels read — a
/// single wrong-length embedding shifted every row after it. Padding makes
/// that unrepresentable. A record stored without an embedding therefore holds
/// a zero row, and is told apart by its norm being zero rather than by length.
///
/// This used to be two fields — a `Vec<Vec<f32>>` and a flattened copy kept in
/// lock-step — which stored the whole corpus twice and cost one heap
/// allocation per entry on top. At 100k 384-dim entries that duplicate was
/// ~150 MiB. Indexing yields a `&[f32]` row, so `embeddings[i]` still reads
/// the same way.
#[derive(Debug, Clone, Default)]
pub struct Embeddings {
flat: Vec<f32>,
dim: usize,
}
impl Embeddings {
pub fn new(dim: usize) -> Self {
Self {
flat: Vec::new(),
dim,
}
}
/// Number of embeddings.
pub fn len(&self) -> usize {
self.flat.len().checked_div(self.dim).unwrap_or(0)
}
pub fn is_empty(&self) -> bool {
self.len() == 0
}
/// The whole buffer, `[N x dim]` row-major — what batched kernels read.
pub fn as_flat(&self) -> &[f32] {
&self.flat
}
pub fn dim(&self) -> usize {
self.dim
}
/// Row `i`, or `None` if out of range.
pub fn get(&self, i: usize) -> Option<&[f32]> {
let start = i.checked_mul(self.dim)?;
self.flat.get(start..start.checked_add(self.dim)?)
}
pub fn iter(&self) -> impl ExactSizeIterator<Item = &[f32]> {
self.flat.chunks_exact(self.dim.max(1))
}
/// Append one embedding. A row whose length doesn't match `dim` is padded
/// or truncated, so the buffer stays rectangular whatever a caller passes.
pub fn push(&mut self, embedding: &[f32]) {
if self.dim == 0 {
return;
}
let take = embedding.len().min(self.dim);
self.flat.extend_from_slice(&embedding[..take]);
self.flat.resize(self.flat.len() + (self.dim - take), 0.0);
}
/// Replace row `i`. Out-of-range indices are ignored.
pub fn set(&mut self, i: usize, embedding: &[f32]) {
let Some(start) = i.checked_mul(self.dim) else {
return;
};
if start + self.dim > self.flat.len() {
return;
}
let take = embedding.len().min(self.dim);
self.flat[start..start + take].copy_from_slice(&embedding[..take]);
self.flat[start + take..start + self.dim].fill(0.0);
}
/// Keep only the rows `keep` returns true for, preserving order.
pub fn retain(&mut self, mut keep: impl FnMut(usize) -> bool) {
if self.dim == 0 {
return;
}
let mut write = 0usize;
for read in 0..self.len() {
if keep(read) {
if write != read {
let (dst, src) = (write * self.dim, read * self.dim);
self.flat.copy_within(src..src + self.dim, dst);
}
write += 1;
}
}
self.flat.truncate(write * self.dim);
}
/// Replace the contents with `rows`.
pub fn reset_from(&mut self, dim: usize, rows: impl IntoIterator<Item = Vec<f32>>) {
self.dim = dim;
self.flat.clear();
for row in rows {
self.push(&row);
}
}
/// Adopt an already-flat buffer, trimming any partial trailing row.
pub fn set_flat(&mut self, dim: usize, mut flat: Vec<f32>) {
self.dim = dim;
match flat.len().checked_div(dim) {
Some(rows) => flat.truncate(rows * dim),
None => flat.clear(),
}
self.flat = flat;
}
}
impl PartialEq for Embeddings {
fn eq(&self, other: &Self) -> bool {
self.dim == other.dim && self.flat == other.flat
}
}
impl std::ops::Index<usize> for Embeddings {
type Output = [f32];
fn index(&self, i: usize) -> &[f32] {
self.get(i).expect("embedding index out of range")
}
}
/// In-memory cache for the /memory group data.
#[derive(Debug, Clone)]
pub struct MemoryCache {
pub chunks: Vec<String>,
pub embeddings: Vec<Vec<f32>>,
/// `embeddings` flattened into one contiguous `[N × embedding_dim]`
/// buffer, maintained incrementally alongside `embeddings` (push/update/
/// compact) so BLAS/Accelerate batch search can read it directly instead
/// of re-flattening the whole corpus on every query.
pub embeddings_flat: Vec<f32>,
pub embeddings: Embeddings,
pub source_channels: Vec<String>,
pub timestamps: Vec<f64>,
pub session_ids: Vec<String>,
@@ -28,8 +155,7 @@ impl MemoryCache {
pub fn new(embedding_dim: usize) -> Self {
Self {
chunks: Vec::new(),
embeddings: Vec::new(),
embeddings_flat: Vec::new(),
embeddings: Embeddings::new(embedding_dim),
source_channels: Vec::new(),
timestamps: Vec::new(),
session_ids: Vec::new(),
@@ -41,15 +167,14 @@ impl MemoryCache {
}
}
/// Rebuild `embeddings_flat` from `embeddings` from scratch. Callers that
/// populate `embeddings` directly (bulk loads) must call this afterward.
pub fn rebuild_flat(&mut self) {
self.embeddings_flat.clear();
self.embeddings_flat
.reserve(self.embeddings.len() * self.embedding_dim);
for emb in &self.embeddings {
self.embeddings_flat.extend_from_slice(emb);
}
/// Kept for callers that used to have to re-flatten after a bulk load.
/// The buffer is always flat now, so there is nothing to rebuild.
#[deprecated(note = "embeddings are stored flat; this is a no-op")]
pub fn rebuild_flat(&mut self) {}
/// The embeddings as one contiguous `[N x dim]` buffer.
pub fn flat_embeddings(&self) -> &[f32] {
self.embeddings.as_flat()
}
/// Total number of entries (including tombstoned).
@@ -79,8 +204,7 @@ impl MemoryCache {
let idx = self.chunks.len();
let norm = vector_search::compute_norm(&embedding);
self.chunks.push(chunk);
self.embeddings_flat.extend_from_slice(&embedding);
self.embeddings.push(embedding);
self.embeddings.push(&embedding);
self.source_channels.push(source_channel);
self.timestamps.push(timestamp);
self.session_ids.push(session_id);
@@ -118,20 +242,7 @@ impl MemoryCache {
if idx < self.chunks.len() {
let norm = vector_search::compute_norm(&embedding);
self.chunks[idx] = chunk;
let dim = self.embedding_dim;
let flat_start = idx * dim;
let matches_dim =
embedding.len() == dim && flat_start + dim <= self.embeddings_flat.len();
self.embeddings[idx] = embedding;
if matches_dim {
self.embeddings_flat[flat_start..flat_start + dim]
.copy_from_slice(&self.embeddings[idx]);
} else {
// Embedding length doesn't match embedding_dim (shouldn't
// happen in practice) — fall back to a full rebuild rather
// than leave embeddings_flat misaligned with embeddings.
self.rebuild_flat();
}
self.embeddings.set(idx, &embedding);
self.source_channels[idx] = source_channel;
self.timestamps[idx] = timestamp;
self.session_ids[idx] = session_id;
@@ -183,7 +294,7 @@ impl MemoryCache {
new_idx += 1;
let norm = vector_search::compute_norm(&self.embeddings[i]);
new_chunks.push(self.chunks[i].clone());
new_embeddings.push(self.embeddings[i].clone());
new_embeddings.push(self.embeddings[i].to_vec());
new_source_channels.push(self.source_channels[i].clone());
new_timestamps.push(self.timestamps[i]);
new_session_ids.push(self.session_ids[i].clone());
@@ -196,7 +307,8 @@ impl MemoryCache {
let removed = old_len - new_chunks.len();
self.chunks = new_chunks;
self.embeddings = new_embeddings;
self.embeddings
.reset_from(self.embedding_dim, new_embeddings);
self.source_channels = new_source_channels;
self.timestamps = new_timestamps;
self.session_ids = new_session_ids;
@@ -204,16 +316,14 @@ impl MemoryCache {
self.tombstones = new_tombstones;
self.norms = new_norms;
self.activation_weights = new_activation_weights;
self.rebuild_flat();
(removed, index_map)
}
/// Flatten all embeddings into a single Vec<f32> for HDF5 storage.
/// `embeddings_flat` is already maintained incrementally, so this just
/// clones it — kept as a method for callers that want an owned copy.
pub fn flat_embeddings(&self) -> Vec<f32> {
self.embeddings_flat.clone()
/// All embeddings as one owned `[N x dim]` buffer, for HDF5 storage.
/// Prefer [`MemoryCache::flat_embeddings`] where a borrow will do.
pub fn flat_embeddings_owned(&self) -> Vec<f32> {
self.embeddings.as_flat().to_vec()
}
}
@@ -224,7 +334,7 @@ mod tests {
/// `embeddings_flat` must always equal a from-scratch flatten of `embeddings`.
fn assert_flat_in_sync(cache: &MemoryCache) {
let expected: Vec<f32> = cache.embeddings.iter().flatten().copied().collect();
assert_eq!(cache.embeddings_flat, expected);
assert_eq!(cache.embeddings.as_flat(), expected);
}
#[test]
@@ -247,7 +357,10 @@ mod tests {
String::new(),
);
assert_flat_in_sync(&cache);
assert_eq!(cache.embeddings_flat, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
assert_eq!(
cache.embeddings.as_flat(),
vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
);
}
#[test]
@@ -279,7 +392,7 @@ mod tests {
);
assert_flat_in_sync(&cache);
assert_eq!(
cache.embeddings_flat,
cache.embeddings.as_flat(),
vec![7.0, 8.0, 9.0, 4.0, 5.0, 6.0],
"update must overwrite the correct flat slice, not just append"
);
@@ -315,14 +428,15 @@ mod tests {
cache.mark_deleted(1);
cache.compact();
assert_flat_in_sync(&cache);
assert_eq!(cache.embeddings_flat, vec![1.0, 1.0, 3.0, 3.0]);
assert_eq!(cache.embeddings.as_flat(), vec![1.0, 1.0, 3.0, 3.0]);
}
#[test]
fn rebuild_flat_matches_manual_flatten() {
let mut cache = MemoryCache::new(2);
cache.embeddings = vec![vec![1.0, 2.0], vec![3.0, 4.0]];
cache.rebuild_flat();
assert_eq!(cache.embeddings_flat, vec![1.0, 2.0, 3.0, 4.0]);
cache
.embeddings
.reset_from(2, vec![vec![1.0, 2.0], vec![3.0, 4.0]]);
assert_eq!(cache.embeddings.as_flat(), vec![1.0, 2.0, 3.0, 4.0]);
}
}