mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-22 18:17:39 +08:00
first ugly step
This commit is contained in:
parent
afa3ae0cbd
commit
6ba4baecbf
@ -4,7 +4,7 @@ use ordered_float::OrderedFloat;
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use roaring::RoaringBitmap;
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use roaring::RoaringBitmap;
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use crate::score_details::{self, ScoreDetails};
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use crate::score_details::{self, ScoreDetails};
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use crate::vector::Embedder;
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use crate::vector::{ArroyWrapper, Embedder};
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use crate::{filtered_universe, DocumentId, Filter, Index, Result, SearchResult};
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use crate::{filtered_universe, DocumentId, Filter, Index, Result, SearchResult};
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pub struct Similar<'a> {
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pub struct Similar<'a> {
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@ -71,23 +71,13 @@ impl<'a> Similar<'a> {
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.get(self.rtxn, &self.embedder_name)?
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.get(self.rtxn, &self.embedder_name)?
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.ok_or_else(|| crate::UserError::InvalidEmbedder(self.embedder_name.to_owned()))?;
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.ok_or_else(|| crate::UserError::InvalidEmbedder(self.embedder_name.to_owned()))?;
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let mut results = Vec::new();
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let reader = ArroyWrapper::new(self.index.vector_arroy, embedder_index, self.quantized);
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let results = reader.nns_by_item(
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for reader in self.index.arroy_readers(self.rtxn, embedder_index, self.quantized) {
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let nns_by_item = reader?.nns_by_item(
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self.rtxn,
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self.rtxn,
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self.id,
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self.id,
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self.limit + self.offset + 1,
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self.limit + self.offset + 1,
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Some(&universe),
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Some(&universe),
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)?;
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)?;
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if let Some(mut nns_by_item) = nns_by_item {
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results.append(&mut nns_by_item);
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} else {
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break;
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}
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}
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results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
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let mut documents_ids = Vec::with_capacity(self.limit);
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let mut documents_ids = Vec::with_capacity(self.limit);
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let mut document_scores = Vec::with_capacity(self.limit);
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let mut document_scores = Vec::with_capacity(self.limit);
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@ -680,7 +680,7 @@ pub(crate) fn write_typed_chunk_into_index(
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let mut iter = merger.into_stream_merger_iter()?;
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let mut iter = merger.into_stream_merger_iter()?;
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while let Some((key, _)) = iter.next()? {
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while let Some((key, _)) = iter.next()? {
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let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
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let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
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writer.del_item(wtxn, expected_dimension, docid)?;
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writer.del_item_raw(wtxn, expected_dimension, docid)?;
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}
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}
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// add generated embeddings
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// add generated embeddings
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@ -708,7 +708,7 @@ pub(crate) fn write_typed_chunk_into_index(
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embeddings.embedding_count(),
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embeddings.embedding_count(),
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)));
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)));
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}
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}
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writer.add_items(wtxn, expected_dimension, docid, embeddings)?;
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writer.add_items(wtxn, docid, &embeddings)?;
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}
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}
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// perform the manual diff
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// perform the manual diff
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@ -723,51 +723,14 @@ pub(crate) fn write_typed_chunk_into_index(
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Deletion) {
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Deletion) {
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let vector: Vec<f32> = pod_collect_to_vec(value);
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let vector: Vec<f32> = pod_collect_to_vec(value);
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let mut deleted_index = None;
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writer.del_item(wtxn, docid, &vector)?;
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for (index, writer) in writers.iter().enumerate() {
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let Some(candidate) = writer.item_vector(wtxn, docid)? else {
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// uses invariant: vectors are packed in the first writers.
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break;
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};
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if candidate == vector {
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writer.del_item(wtxn, expected_dimension, docid)?;
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deleted_index = Some(index);
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}
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}
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// 🥲 enforce invariant: vectors are packed in the first writers.
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if let Some(deleted_index) = deleted_index {
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let mut last_index_with_a_vector = None;
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for (index, writer) in writers.iter().enumerate().skip(deleted_index) {
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let Some(candidate) = writer.item_vector(wtxn, docid)? else {
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break;
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};
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last_index_with_a_vector = Some((index, candidate));
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}
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if let Some((last_index, vector)) = last_index_with_a_vector {
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// unwrap: computed the index from the list of writers
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let writer = writers.get(last_index).unwrap();
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writer.del_item(wtxn, expected_dimension, docid)?;
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writers.get(deleted_index).unwrap().add_item(
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wtxn,
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expected_dimension,
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docid,
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&vector,
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)?;
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}
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}
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}
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}
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Addition) {
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if let Some(value) = vector_deladd_obkv.get(DelAdd::Addition) {
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let vector = pod_collect_to_vec(value);
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let vector = pod_collect_to_vec(value);
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// overflow was detected during vector extraction.
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// overflow was detected during vector extraction.
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for writer in &writers {
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writer.add_item(wtxn, docid, &vector)?;
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if !writer.contains_item(wtxn, expected_dimension, docid)? {
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writer.add_item(wtxn, expected_dimension, docid, &vector)?;
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break;
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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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@ -97,50 +97,166 @@ impl ArroyWrapper {
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Ok(())
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Ok(())
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}
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}
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pub fn add_items(
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&self,
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wtxn: &mut RwTxn,
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item_id: arroy::ItemId,
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embeddings: &Embeddings<f32>,
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) -> Result<(), arroy::Error> {
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let dimension = embeddings.dimension();
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for (index, vector) in arroy_db_range_for_embedder(self.index).zip(embeddings.iter()) {
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if self.quantized {
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arroy::Writer::new(self.quantized_db(), index, dimension)
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.add_item(wtxn, item_id, vector)?
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} else {
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arroy::Writer::new(self.angular_db(), index, dimension)
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.add_item(wtxn, item_id, vector)?
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}
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}
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Ok(())
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}
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pub fn add_item(
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pub fn add_item(
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&self,
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&self,
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wtxn: &mut RwTxn,
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wtxn: &mut RwTxn,
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dimension: usize,
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item_id: arroy::ItemId,
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item_id: arroy::ItemId,
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vector: &[f32],
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vector: &[f32],
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) -> Result<(), arroy::Error> {
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) -> Result<(), arroy::Error> {
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let dimension = vector.len();
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for index in arroy_db_range_for_embedder(self.index) {
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if self.quantized {
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if self.quantized {
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arroy::Writer::new(self.quantized_db(), self.index, dimension)
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let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
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.add_item(wtxn, item_id, vector)
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if !writer.contains_item(wtxn, item_id)? {
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writer.add_item(wtxn, item_id, &vector)?;
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break;
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}
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} else {
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} else {
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arroy::Writer::new(self.angular_db(), self.index, dimension)
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arroy::Writer::new(self.angular_db(), index, dimension)
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.add_item(wtxn, item_id, vector)
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.add_item(wtxn, item_id, vector)?
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}
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}
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}
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}
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pub fn del_item(
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Ok(())
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}
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pub fn del_item_raw(
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&self,
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&self,
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wtxn: &mut RwTxn,
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wtxn: &mut RwTxn,
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dimension: usize,
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dimension: usize,
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item_id: arroy::ItemId,
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item_id: arroy::ItemId,
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) -> Result<bool, arroy::Error> {
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) -> Result<bool, arroy::Error> {
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for index in arroy_db_range_for_embedder(self.index) {
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if self.quantized {
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if self.quantized {
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arroy::Writer::new(self.quantized_db(), self.index, dimension).del_item(wtxn, item_id)
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let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
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} else {
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if writer.del_item(wtxn, item_id)? {
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arroy::Writer::new(self.angular_db(), self.index, dimension).del_item(wtxn, item_id)
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return Ok(true);
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}
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}
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} else {
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let writer = arroy::Writer::new(self.angular_db(), index, dimension);
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if writer.del_item(wtxn, item_id)? {
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return Ok(true);
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}
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}
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}
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Ok(false)
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}
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pub fn del_item(
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&self,
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wtxn: &mut RwTxn,
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itemid: arroy::ItemId,
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vector: &[f32],
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) -> Result<bool, arroy::Error> {
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let dimension = vector.len();
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let mut deleted_index = None;
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for index in arroy_db_range_for_embedder(self.index) {
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if self.quantized {
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let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
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let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
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// uses invariant: vectors are packed in the first writers.
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break;
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};
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if candidate == vector {
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writer.del_item(wtxn, itemid)?;
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deleted_index = Some(index);
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}
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} else {
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let writer = arroy::Writer::new(self.angular_db(), index, dimension);
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let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
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// uses invariant: vectors are packed in the first writers.
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break;
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};
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if candidate == vector {
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writer.del_item(wtxn, itemid)?;
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deleted_index = Some(index);
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}
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}
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}
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// 🥲 enforce invariant: vectors are packed in the first writers.
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if let Some(deleted_index) = deleted_index {
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let mut last_index_with_a_vector = None;
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for index in arroy_db_range_for_embedder(self.index).skip(deleted_index as usize) {
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if self.quantized {
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let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
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let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
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break;
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};
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last_index_with_a_vector = Some((index, candidate));
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} else {
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let writer = arroy::Writer::new(self.angular_db(), index, dimension);
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let Some(candidate) = writer.item_vector(wtxn, itemid)? else {
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break;
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};
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last_index_with_a_vector = Some((index, candidate));
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}
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}
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if let Some((last_index, vector)) = last_index_with_a_vector {
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if self.quantized {
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// unwrap: computed the index from the list of writers
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let writer = arroy::Writer::new(self.quantized_db(), last_index, dimension);
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writer.del_item(wtxn, itemid)?;
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let writer = arroy::Writer::new(self.quantized_db(), deleted_index, dimension);
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writer.add_item(wtxn, itemid, &vector)?;
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} else {
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// unwrap: computed the index from the list of writers
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let writer = arroy::Writer::new(self.angular_db(), last_index, dimension);
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writer.del_item(wtxn, itemid)?;
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let writer = arroy::Writer::new(self.angular_db(), deleted_index, dimension);
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writer.add_item(wtxn, itemid, &vector)?;
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}
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}
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}
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Ok(deleted_index.is_some())
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}
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}
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pub fn clear(&self, wtxn: &mut RwTxn, dimension: usize) -> Result<(), arroy::Error> {
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pub fn clear(&self, wtxn: &mut RwTxn, dimension: usize) -> Result<(), arroy::Error> {
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for index in arroy_db_range_for_embedder(self.index) {
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if self.quantized {
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if self.quantized {
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arroy::Writer::new(self.quantized_db(), self.index, dimension).clear(wtxn)
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arroy::Writer::new(self.quantized_db(), index, dimension).clear(wtxn)?;
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} else {
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} else {
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arroy::Writer::new(self.angular_db(), self.index, dimension).clear(wtxn)
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arroy::Writer::new(self.angular_db(), index, dimension).clear(wtxn)?;
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}
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}
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}
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}
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Ok(())
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}
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pub fn is_empty(&self, rtxn: &RoTxn, dimension: usize) -> Result<bool, arroy::Error> {
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pub fn is_empty(&self, rtxn: &RoTxn, dimension: usize) -> Result<bool, arroy::Error> {
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if self.quantized {
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for index in arroy_db_range_for_embedder(self.index) {
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arroy::Writer::new(self.quantized_db(), self.index, dimension).is_empty(rtxn)
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let empty = if self.quantized {
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arroy::Writer::new(self.quantized_db(), index, dimension).is_empty(rtxn)?
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} else {
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} else {
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arroy::Writer::new(self.angular_db(), self.index, dimension).is_empty(rtxn)
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arroy::Writer::new(self.angular_db(), index, dimension).is_empty(rtxn)?
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};
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if !empty {
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return Ok(false);
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}
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}
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}
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}
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Ok(true)
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}
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pub fn contains_item(
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pub fn contains_item(
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&self,
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&self,
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@ -148,12 +264,19 @@ impl ArroyWrapper {
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dimension: usize,
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dimension: usize,
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item: arroy::ItemId,
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item: arroy::ItemId,
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) -> Result<bool, arroy::Error> {
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) -> Result<bool, arroy::Error> {
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if self.quantized {
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for index in arroy_db_range_for_embedder(self.index) {
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arroy::Writer::new(self.quantized_db(), self.index, dimension).contains_item(rtxn, item)
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let contains = if self.quantized {
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arroy::Writer::new(self.quantized_db(), index, dimension)
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.contains_item(rtxn, item)?
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} else {
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} else {
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arroy::Writer::new(self.angular_db(), self.index, dimension).contains_item(rtxn, item)
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arroy::Writer::new(self.angular_db(), index, dimension).contains_item(rtxn, item)?
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};
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if contains {
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return Ok(contains);
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}
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}
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}
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}
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Ok(false)
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}
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pub fn nns_by_item(
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pub fn nns_by_item(
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&self,
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&self,
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@ -161,15 +284,27 @@ impl ArroyWrapper {
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item: ItemId,
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item: ItemId,
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limit: usize,
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limit: usize,
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filter: Option<&RoaringBitmap>,
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filter: Option<&RoaringBitmap>,
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) -> Result<Option<Vec<(ItemId, f32)>>, arroy::Error> {
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) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
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if self.quantized {
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let mut results = Vec::new();
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arroy::Reader::open(rtxn, self.index, self.quantized_db())?
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.nns_by_item(rtxn, item, limit, None, None, filter)
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for index in arroy_db_range_for_embedder(self.index) {
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let ret = if self.quantized {
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arroy::Reader::open(rtxn, index, self.quantized_db())?
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.nns_by_item(rtxn, item, limit, None, None, filter)?
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} else {
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} else {
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arroy::Reader::open(rtxn, self.index, self.angular_db())?
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arroy::Reader::open(rtxn, index, self.angular_db())?
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.nns_by_item(rtxn, item, limit, None, None, filter)
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.nns_by_item(rtxn, item, limit, None, None, filter)?
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};
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if let Some(mut ret) = ret {
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results.append(&mut ret);
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} else {
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break;
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}
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}
|
||||||
}
|
}
|
||||||
|
results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
|
||||||
|
|
||||||
|
Ok(results)
|
||||||
|
}
|
||||||
|
|
||||||
pub fn nns_by_vector(
|
pub fn nns_by_vector(
|
||||||
&self,
|
&self,
|
||||||
@ -178,22 +313,37 @@ impl ArroyWrapper {
|
|||||||
limit: usize,
|
limit: usize,
|
||||||
filter: Option<&RoaringBitmap>,
|
filter: Option<&RoaringBitmap>,
|
||||||
) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
|
) -> Result<Vec<(ItemId, f32)>, arroy::Error> {
|
||||||
if self.quantized {
|
let mut results = Vec::new();
|
||||||
arroy::Reader::open(txn, self.index, self.quantized_db())?
|
|
||||||
.nns_by_vector(txn, item, limit, None, None, filter)
|
for index in arroy_db_range_for_embedder(self.index) {
|
||||||
|
let mut ret = if self.quantized {
|
||||||
|
arroy::Reader::open(txn, index, self.quantized_db())?
|
||||||
|
.nns_by_vector(txn, item, limit, None, None, filter)?
|
||||||
} else {
|
} else {
|
||||||
arroy::Reader::open(txn, self.index, self.angular_db())?
|
arroy::Reader::open(txn, index, self.angular_db())?
|
||||||
.nns_by_vector(txn, item, limit, None, None, filter)
|
.nns_by_vector(txn, item, limit, None, None, filter)?
|
||||||
|
};
|
||||||
|
results.append(&mut ret);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
|
||||||
|
|
||||||
|
Ok(results)
|
||||||
}
|
}
|
||||||
|
|
||||||
pub fn item_vector(&self, rtxn: &RoTxn, docid: u32) -> Result<Option<Vec<f32>>, arroy::Error> {
|
pub fn item_vector(&self, rtxn: &RoTxn, docid: u32) -> Result<Option<Vec<f32>>, arroy::Error> {
|
||||||
if self.quantized {
|
for index in arroy_db_range_for_embedder(self.index) {
|
||||||
arroy::Reader::open(rtxn, self.index, self.quantized_db())?.item_vector(rtxn, docid)
|
let ret = if self.quantized {
|
||||||
|
arroy::Reader::open(rtxn, index, self.quantized_db())?.item_vector(rtxn, docid)?
|
||||||
} else {
|
} else {
|
||||||
arroy::Reader::open(rtxn, self.index, self.angular_db())?.item_vector(rtxn, docid)
|
arroy::Reader::open(rtxn, index, self.angular_db())?.item_vector(rtxn, docid)?
|
||||||
|
};
|
||||||
|
if ret.is_some() {
|
||||||
|
return Ok(ret);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
Ok(None)
|
||||||
|
}
|
||||||
|
|
||||||
fn angular_db(&self) -> arroy::Database<Angular> {
|
fn angular_db(&self) -> arroy::Database<Angular> {
|
||||||
self.database.remap_data_type()
|
self.database.remap_data_type()
|
||||||
|
Loading…
Reference in New Issue
Block a user