update arroy

Cargo.lock

@@ -386,8 +386,9 @@ checksum = "96d30a06541fbafbc7f82ed10c06164cfbd2c401138f6addd8404629c4b16711"
 
 [[package]]
 name = "arroy"
-version = "0.4.0"
-source = "git+https://github.com/meilisearch/arroy/?rev=2386594dfb009ce08821a925ccc89fb8e30bf73d#2386594dfb009ce08821a925ccc89fb8e30bf73d"
+version = "0.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "dfc5f272f38fa063bbff0a7ab5219404e221493de005e2b4078c62d626ef567e"
 dependencies = [
  "bytemuck",
  "byteorder",

index-scheduler/Cargo.toml

@@ -40,7 +40,7 @@ ureq = "2.10.0"
 uuid = { version = "1.10.0", features = ["serde", "v4"] }
 
 [dev-dependencies]
-arroy = { git = "https://github.com/meilisearch/arroy/", rev = "2386594dfb009ce08821a925ccc89fb8e30bf73d" }
+arroy = "0.5.0"
 big_s = "1.0.2"
 crossbeam = "0.8.4"
 insta = { version = "1.39.0", features = ["json", "redactions"] }

milli/Cargo.toml

@@ -80,7 +80,7 @@ hf-hub = { git = "https://github.com/dureuill/hf-hub.git", branch = "rust_tls",
 tiktoken-rs = "0.5.9"
 liquid = "0.26.6"
 rhai = { git = "https://github.com/rhaiscript/rhai", rev = "ef3df63121d27aacd838f366f2b83fd65f20a1e4", features = ["serde", "no_module", "no_custom_syntax", "no_time", "sync"] }
-arroy = { git = "https://github.com/meilisearch/arroy/", rev = "2386594dfb009ce08821a925ccc89fb8e30bf73d" }
+arroy = "0.5.0"
 rand = "0.8.5"
 tracing = "0.1.40"
 ureq = { version = "2.10.0", features = ["json"] }

milli/src/error.rs

@@ -297,6 +297,7 @@ impl From<arroy::Error> for Error {
             arroy::Error::InvalidVecDimension { expected, received } => {
                 Error::UserError(UserError::InvalidVectorDimensions { expected, found: received })
             }
+            arroy::Error::BuildCancelled => Error::InternalError(InternalError::AbortedIndexation),
             arroy::Error::DatabaseFull
             | arroy::Error::InvalidItemAppend
             | arroy::Error::UnmatchingDistance { .. }

milli/src/vector/mod.rs

@@ -1,7 +1,7 @@
 use std::collections::HashMap;
 use std::sync::Arc;
 
-use arroy::distances::{Angular, BinaryQuantizedAngular};
+use arroy::distances::{BinaryQuantizedCosine, Cosine};
 use arroy::ItemId;
 use deserr::{DeserializeError, Deserr};
 use heed::{RoTxn, RwTxn, Unspecified};
@@ -87,7 +87,7 @@ impl ArroyWrapper {
             if self.quantized {
                 let writer = arroy::Writer::new(self.quantized_db(), index, dimension);
                 if writer.need_build(wtxn)? {
-                    writer.build(wtxn, rng, None)?
+                    writer.builder(rng).build(wtxn)?
                 } else if writer.is_empty(wtxn)? {
                     break;
                 }
@@ -99,11 +99,10 @@ impl ArroyWrapper {
                 // only happens once in the life of an embedder, it's not very performances
                 // sensitive.
                 if quantizing && !self.quantized {
-                    let writer =
-                        writer.prepare_changing_distance::<BinaryQuantizedAngular>(wtxn)?;
-                    writer.build(wtxn, rng, None)?
+                    let writer = writer.prepare_changing_distance::<BinaryQuantizedCosine>(wtxn)?;
+                    writer.builder(rng).build(wtxn)?;
                 } else if writer.need_build(wtxn)? {
-                    writer.build(wtxn, rng, None)?
+                    writer.builder(rng).build(wtxn)?;
                 } else if writer.is_empty(wtxn)? {
                     break;
                 }
@@ -323,8 +322,13 @@ impl ArroyWrapper {
         let mut results = Vec::new();
 
         for reader in self.readers(rtxn, db) {
-            let ret = reader?.nns_by_item(rtxn, item, limit, None, None, filter)?;
-            if let Some(mut ret) = ret {
+            let reader = reader?;
+            let mut searcher = reader.nns(limit);
+            if let Some(filter) = filter {
+                searcher.candidates(filter);
+            }
+
+            if let Some(mut ret) = searcher.by_item(rtxn, item)? {
                 results.append(&mut ret);
             } else {
                 break;
@@ -359,8 +363,13 @@ impl ArroyWrapper {
         let mut results = Vec::new();
 
         for reader in self.readers(rtxn, db) {
-            let mut ret = reader?.nns_by_vector(rtxn, vector, limit, None, None, filter)?;
-            results.append(&mut ret);
+            let reader = reader?;
+            let mut searcher = reader.nns(limit);
+            if let Some(filter) = filter {
+                searcher.candidates(filter);
+            }
+
+            results.append(&mut searcher.by_vector(rtxn, vector)?);
         }
 
         results.sort_unstable_by_key(|(_, distance)| OrderedFloat(*distance));
@@ -391,11 +400,11 @@ impl ArroyWrapper {
         Ok(vectors)
     }
 
-    fn angular_db(&self) -> arroy::Database<Angular> {
+    fn angular_db(&self) -> arroy::Database<Cosine> {
         self.database.remap_data_type()
     }
 
-    fn quantized_db(&self) -> arroy::Database<BinaryQuantizedAngular> {
+    fn quantized_db(&self) -> arroy::Database<BinaryQuantizedCosine> {
         self.database.remap_data_type()
     }
 }