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https://github.com/meilisearch/MeiliSearch
synced 2025-07-03 03:47:02 +02:00
implement the binary quantization in meilisearch
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parent
5f474a640d
commit
cc45e264ca
20 changed files with 559 additions and 223 deletions
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@ -102,8 +102,8 @@ async fn similar(
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let index = index_scheduler.index(&index_uid)?;
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let (embedder_name, embedder) =
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SearchKind::embedder(&index_scheduler, &index, &query.embedder, None)?;
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let (embedder_name, embedder, quantized) =
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SearchKind::embedder(&index_scheduler, &index, query.embedder.as_deref(), None)?;
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tokio::task::spawn_blocking(move || {
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perform_similar(
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@ -111,6 +111,7 @@ async fn similar(
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query,
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embedder_name,
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embedder,
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quantized,
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retrieve_vectors,
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index_scheduler.features(),
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)
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@ -274,8 +274,8 @@ pub struct HybridQuery {
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#[derive(Clone)]
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pub enum SearchKind {
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KeywordOnly,
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SemanticOnly { embedder_name: String, embedder: Arc<Embedder> },
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Hybrid { embedder_name: String, embedder: Arc<Embedder>, semantic_ratio: f32 },
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SemanticOnly { embedder_name: String, embedder: Arc<Embedder>, quantized: bool },
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Hybrid { embedder_name: String, embedder: Arc<Embedder>, quantized: bool, semantic_ratio: f32 },
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}
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impl SearchKind {
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@ -285,9 +285,9 @@ impl SearchKind {
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embedder_name: &str,
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vector_len: Option<usize>,
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) -> Result<Self, ResponseError> {
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let (embedder_name, embedder) =
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let (embedder_name, embedder, quantized) =
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Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
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Ok(Self::SemanticOnly { embedder_name, embedder })
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Ok(Self::SemanticOnly { embedder_name, embedder, quantized })
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}
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pub(crate) fn hybrid(
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@ -297,9 +297,9 @@ impl SearchKind {
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semantic_ratio: f32,
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vector_len: Option<usize>,
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) -> Result<Self, ResponseError> {
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let (embedder_name, embedder) =
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let (embedder_name, embedder, quantized) =
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Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
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Ok(Self::Hybrid { embedder_name, embedder, semantic_ratio })
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Ok(Self::Hybrid { embedder_name, embedder, quantized, semantic_ratio })
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}
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pub(crate) fn embedder(
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@ -307,16 +307,14 @@ impl SearchKind {
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index: &Index,
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embedder_name: &str,
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vector_len: Option<usize>,
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) -> Result<(String, Arc<Embedder>), ResponseError> {
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) -> Result<(String, Arc<Embedder>, bool), ResponseError> {
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let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
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let embedders = index_scheduler.embedders(embedder_configs)?;
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let embedder = embedders.get(embedder_name);
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let embedder = embedder
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let (embedder, _, quantized) = embedders
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.get(embedder_name)
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.ok_or(milli::UserError::InvalidEmbedder(embedder_name.to_owned()))
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.map_err(milli::Error::from)?
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.0;
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.map_err(milli::Error::from)?;
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if let Some(vector_len) = vector_len {
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if vector_len != embedder.dimensions() {
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@ -330,7 +328,7 @@ impl SearchKind {
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}
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}
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Ok((embedder_name.to_owned(), embedder))
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Ok((embedder_name.to_owned(), embedder, quantized))
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}
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}
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@ -791,7 +789,7 @@ fn prepare_search<'t>(
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search.query(q);
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}
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}
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SearchKind::SemanticOnly { embedder_name, embedder } => {
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SearchKind::SemanticOnly { embedder_name, embedder, quantized } => {
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let vector = match query.vector.clone() {
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Some(vector) => vector,
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None => {
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@ -805,14 +803,19 @@ fn prepare_search<'t>(
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}
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};
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search.semantic(embedder_name.clone(), embedder.clone(), Some(vector));
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search.semantic(embedder_name.clone(), embedder.clone(), *quantized, Some(vector));
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}
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SearchKind::Hybrid { embedder_name, embedder, semantic_ratio: _ } => {
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SearchKind::Hybrid { embedder_name, embedder, quantized, semantic_ratio: _ } => {
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if let Some(q) = &query.q {
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search.query(q);
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}
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// will be embedded in hybrid search if necessary
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search.semantic(embedder_name.clone(), embedder.clone(), query.vector.clone());
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search.semantic(
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embedder_name.clone(),
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embedder.clone(),
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*quantized,
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query.vector.clone(),
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);
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}
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}
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@ -1441,6 +1444,7 @@ pub fn perform_similar(
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query: SimilarQuery,
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embedder_name: String,
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embedder: Arc<Embedder>,
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quantized: bool,
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retrieve_vectors: RetrieveVectors,
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features: RoFeatures,
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) -> Result<SimilarResult, ResponseError> {
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@ -1469,8 +1473,16 @@ pub fn perform_similar(
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));
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};
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let mut similar =
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milli::Similar::new(internal_id, offset, limit, index, &rtxn, embedder_name, embedder);
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let mut similar = milli::Similar::new(
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internal_id,
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offset,
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limit,
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index,
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&rtxn,
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embedder_name,
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embedder,
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quantized,
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);
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if let Some(ref filter) = query.filter {
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if let Some(facets) = parse_filter(filter, Code::InvalidSimilarFilter, features)? {
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