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Switch from version to backend selector

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This commit is contained in:
Louis Dureuil
2025-08-26 17:49:56 +02:00
parent b5f0c19406
commit da6fffdf6d
12 changed files with 88 additions and 78 deletions
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4
crates/milli/src/search/facet/filter_vector.rs
View File

@ -82,7 +82,7 @@ fn evaluate_inner(
embedding_configs: &[IndexEmbeddingConfig],
filter: &VectorFilter<'_>,
) -> crate::Result<RoaringBitmap> {
let index_version = index.get_version(rtxn)?.unwrap();
let backend = index.get_vector_store(rtxn)?;
let embedder_name = embedder.value();
let available_embedders =
|| embedding_configs.iter().map(|c| c.name.clone()).collect::<Vec<_>>();
@ -98,7 +98,7 @@ fn evaluate_inner(
.ok_or_else(|| EmbedderDoesNotExist { embedder, available: available_embedders() })?;
let vector_store = VectorStore::new(
index_version,
backend,
index.vector_store,
embedder_info.embedder_id,
embedding_config.config.quantized(),

9
crates/milli/src/search/new/vector_sort.rs
View File

@ -54,14 +54,11 @@ impl<Q: RankingRuleQueryTrait> VectorSort<Q> {
vector_candidates: &RoaringBitmap,
) -> Result<()> {
let target = &self.target;
let backend = ctx.index.get_vector_store(ctx.txn)?;
let before = Instant::now();
let reader = VectorStore::new(
ctx.index.get_version(ctx.txn)?.unwrap(),
ctx.index.vector_store,
self.embedder_index,
self.quantized,
);
let reader =
VectorStore::new(backend, ctx.index.vector_store, self.embedder_index, self.quantized);
let results = reader.nns_by_vector(ctx.txn, target, self.limit, Some(vector_candidates))?;
self.cached_sorted_docids = results.into_iter();
*ctx.vector_store_stats.get_or_insert_default() += VectorStoreStats {

10
crates/milli/src/search/similar.rs
View File

@ -72,12 +72,10 @@ impl<'a> Similar<'a> {
crate::UserError::InvalidSimilarEmbedder(self.embedder_name.to_owned())
})?;
let reader = VectorStore::new(
self.index.get_version(self.rtxn)?.unwrap(),
self.index.vector_store,
embedder_index,
self.quantized,
);
let backend = self.index.get_vector_store(self.rtxn)?;
let reader =
VectorStore::new(backend, self.index.vector_store, embedder_index, self.quantized);
let results = reader.nns_by_item(
self.rtxn,
self.id,