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https://github.com/meilisearch/MeiliSearch
synced 2025-07-04 20:37:15 +02:00
EmbeddingConfigs -> RuntimeEmbedders
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parent
422a786ffd
commit
5716ab70f3
19 changed files with 118 additions and 117 deletions
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@ -8,7 +8,7 @@ use maplit::{btreemap, hashset};
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use crate::progress::Progress;
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use crate::update::new::indexer;
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use crate::update::{IndexerConfig, Settings};
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use crate::vector::EmbeddingConfigs;
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use crate::vector::RuntimeEmbedders;
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use crate::{db_snap, Criterion, FilterableAttributesRule, Index};
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pub const CONTENT: &str = include_str!("../../../../tests/assets/test_set.ndjson");
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use crate::constants::RESERVED_GEO_FIELD_NAME;
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@ -55,7 +55,7 @@ pub fn setup_search_index_with_criteria(criteria: &[Criterion]) -> Index {
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let db_fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
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let mut new_fields_ids_map = db_fields_ids_map.clone();
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let embedders = EmbeddingConfigs::default();
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let embedders = RuntimeEmbedders::default();
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let mut indexer = indexer::DocumentOperation::new();
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let mut file = tempfile::tempfile().unwrap();
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@ -32,8 +32,8 @@ impl<Q: RankingRuleQueryTrait> VectorSort<Q> {
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) -> Result<Self> {
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let embedder_index = ctx
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.index
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.embedder_category_id
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.get(ctx.txn, embedder_name)?
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.embedding_configs()
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.embedder_id(ctx.txn, embedder_name)?
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.ok_or_else(|| crate::UserError::InvalidSearchEmbedder(embedder_name.to_owned()))?;
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Ok(Self {
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@ -64,10 +64,13 @@ impl<'a> Similar<'a> {
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let universe = universe;
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let embedder_index =
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self.index.embedder_category_id.get(self.rtxn, &self.embedder_name)?.ok_or_else(
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|| crate::UserError::InvalidSimilarEmbedder(self.embedder_name.to_owned()),
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)?;
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let embedder_index = self
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.index
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.embedding_configs()
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.embedder_id(self.rtxn, &self.embedder_name)?
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.ok_or_else(|| {
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crate::UserError::InvalidSimilarEmbedder(self.embedder_name.to_owned())
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})?;
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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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@ -18,7 +18,7 @@ use crate::update::{
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self, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Setting, Settings,
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};
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use crate::vector::settings::{EmbedderSource, EmbeddingSettings};
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use crate::vector::EmbeddingConfigs;
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use crate::vector::RuntimeEmbedders;
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use crate::{db_snap, obkv_to_json, Filter, FilterableAttributesRule, Index, Search, SearchResult};
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pub(crate) struct TempIndex {
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@ -223,7 +223,7 @@ fn aborting_indexation() {
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let db_fields_ids_map = index.inner.fields_ids_map(&rtxn).unwrap();
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let mut new_fields_ids_map = db_fields_ids_map.clone();
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let embedders = EmbeddingConfigs::default();
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let embedders = RuntimeEmbedders::default();
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let mut indexer = indexer::DocumentOperation::new();
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let payload = documents!([
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{ "id": 1, "name": "kevin" },
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