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https://github.com/meilisearch/MeiliSearch
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Smaller review changes
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@ -31,7 +31,9 @@ use meilisearch_types::milli::heed::CompactionOption;
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use meilisearch_types::milli::update::{
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use meilisearch_types::milli::update::{
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IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings as MilliSettings,
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IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings as MilliSettings,
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};
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};
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use meilisearch_types::milli::vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME;
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use meilisearch_types::milli::vector::parsed_vectors::{
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ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
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};
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use meilisearch_types::milli::{self, Filter};
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use meilisearch_types::milli::{self, Filter};
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use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
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use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
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use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
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use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
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@ -955,12 +957,13 @@ impl IndexScheduler {
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for (embedder_name, embeddings) in embeddings {
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for (embedder_name, embeddings) in embeddings {
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// don't change the entry if it already exists, because it was user-provided
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// don't change the entry if it already exists, because it was user-provided
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vectors.entry(embedder_name).or_insert_with(|| {
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vectors.entry(embedder_name).or_insert_with(|| {
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let embeddings = ExplicitVectors {
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let embeddings = milli::vector::parsed_vectors::ExplicitVectors {
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embeddings: VectorOrArrayOfVectors::from_array_of_vectors(
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embeddings: milli::vector::parsed_vectors::VectorOrArrayOfVectors::from_array_of_vectors(embeddings),
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embeddings,
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user_provided: false,
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),
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};
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user_provided: false,
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serde_json::to_value(embeddings).unwrap()
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};
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serde_json::to_value(embeddings).unwrap()
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});
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});
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}
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}
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}
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}
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@ -23,7 +23,7 @@ use crate::heed_codec::{
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};
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};
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use crate::order_by_map::OrderByMap;
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use crate::order_by_map::OrderByMap;
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use crate::proximity::ProximityPrecision;
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use crate::proximity::ProximityPrecision;
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use crate::vector::EmbeddingConfig;
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use crate::vector::{Embedding, EmbeddingConfig};
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use crate::{
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use crate::{
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default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
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default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
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FacetDistribution, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldIdWordCountCodec,
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FacetDistribution, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldIdWordCountCodec,
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@ -1611,7 +1611,7 @@ impl Index {
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&self,
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&self,
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rtxn: &RoTxn<'_>,
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rtxn: &RoTxn<'_>,
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docid: DocumentId,
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docid: DocumentId,
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) -> Result<BTreeMap<String, Vec<crate::vector::Embedding>>> {
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) -> Result<BTreeMap<String, Vec<Embedding>>> {
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let mut res = BTreeMap::new();
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let mut res = BTreeMap::new();
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for row in self.embedder_category_id.iter(rtxn)? {
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for row in self.embedder_category_id.iter(rtxn)? {
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let (embedder_name, embedder_id) = row?;
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let (embedder_name, embedder_id) = row?;
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@ -89,7 +89,7 @@ struct EmbedderVectorExtractor {
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pub fn extract_vector_points<R: io::Read + io::Seek>(
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pub fn extract_vector_points<R: io::Read + io::Seek>(
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obkv_documents: grenad::Reader<R>,
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obkv_documents: grenad::Reader<R>,
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indexer: GrenadParameters,
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indexer: GrenadParameters,
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settings_diff: Arc<InnerIndexSettingsDiff>,
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settings_diff: &InnerIndexSettingsDiff,
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) -> Result<Vec<ExtractedVectorPoints>> {
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) -> Result<Vec<ExtractedVectorPoints>> {
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puffin::profile_function!();
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puffin::profile_function!();
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@ -258,8 +258,6 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
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}
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}
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}
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}
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/////
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let mut results = Vec::new();
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let mut results = Vec::new();
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for EmbedderVectorExtractor {
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for EmbedderVectorExtractor {
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@ -241,7 +241,7 @@ fn send_original_documents_data(
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let original_documents_chunk = original_documents_chunk.clone();
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let original_documents_chunk = original_documents_chunk.clone();
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let lmdb_writer_sx = lmdb_writer_sx.clone();
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let lmdb_writer_sx = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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rayon::spawn(move || {
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match extract_vector_points(original_documents_chunk.clone(), indexer, settings_diff) {
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match extract_vector_points(original_documents_chunk.clone(), indexer, &settings_diff) {
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Ok(extracted_vectors) => {
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Ok(extracted_vectors) => {
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for ExtractedVectorPoints {
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for ExtractedVectorPoints {
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manual_vectors,
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manual_vectors,
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