Merge #4378

4378: Update mini-dashboard to v0.2.13 r=curquiza a=mdubus



Co-authored-by: Morgane Dubus <30866152+mdubus@users.noreply.github.com>

Cargo.lock

@@ -491,7 +491,7 @@ checksum = "8c3c1a368f70d6cf7302d78f8f7093da241fb8e8807c05cc9e51a125895a6d5b"
 
 [[package]]
 name = "benchmarks"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "anyhow",
  "bytes",
@@ -1402,7 +1402,7 @@ dependencies = [
 
 [[package]]
 name = "dump"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "anyhow",
  "big_s",
@@ -1634,7 +1634,7 @@ dependencies = [
 
 [[package]]
 name = "file-store"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "faux",
  "tempfile",
@@ -1656,7 +1656,7 @@ dependencies = [
 
 [[package]]
 name = "filter-parser"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "insta",
  "nom",
@@ -1687,7 +1687,7 @@ dependencies = [
 
 [[package]]
 name = "flatten-serde-json"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "criterion",
  "serde_json",
@@ -1805,7 +1805,7 @@ dependencies = [
 
 [[package]]
 name = "fuzzers"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "arbitrary",
  "clap",
@@ -2763,7 +2763,7 @@ dependencies = [
 
 [[package]]
 name = "index-scheduler"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "anyhow",
  "big_s",
@@ -2960,7 +2960,7 @@ dependencies = [
 
 [[package]]
 name = "json-depth-checker"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "criterion",
  "serde_json",
@@ -3472,7 +3472,7 @@ checksum = "490cc448043f947bae3cbee9c203358d62dbee0db12107a74be5c30ccfd09771"
 
 [[package]]
 name = "meili-snap"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "insta",
  "md5",
@@ -3481,7 +3481,7 @@ dependencies = [
 
 [[package]]
 name = "meilisearch"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "actix-cors",
  "actix-http",
@@ -3572,7 +3572,7 @@ dependencies = [
 
 [[package]]
 name = "meilisearch-auth"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "base64 0.21.5",
  "enum-iterator",
@@ -3591,7 +3591,7 @@ dependencies = [
 
 [[package]]
 name = "meilisearch-types"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "actix-web",
  "anyhow",
@@ -3621,7 +3621,7 @@ dependencies = [
 
 [[package]]
 name = "meilitool"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "anyhow",
  "clap",
@@ -3669,7 +3669,7 @@ dependencies = [
 
 [[package]]
 name = "milli"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "arroy",
  "big_s",
@@ -4076,7 +4076,7 @@ checksum = "e3148f5046208a5d56bcfc03053e3ca6334e51da8dfb19b6cdc8b306fae3283e"
 
 [[package]]
 name = "permissive-json-pointer"
-version = "1.6.0"
+version = "1.6.1"
 dependencies = [
  "big_s",
  "serde_json",

Cargo.toml

@@ -19,7 +19,7 @@ members = [
 ]
 
 [workspace.package]
-version = "1.6.0"
+version = "1.6.1"
 authors = ["Quentin de Quelen <quentin@dequelen.me>", "Clément Renault <clement@meilisearch.com>"]
 description = "Meilisearch HTTP server"
 homepage = "https://meilisearch.com"

meilisearch/Cargo.toml

@@ -154,5 +154,5 @@ greek = ["meilisearch-types/greek"]
 khmer = ["meilisearch-types/khmer"]
 
 [package.metadata.mini-dashboard]
-assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.12/build.zip"
-sha1 = "acfe9a018c93eb0604ea87ee87bff7df5474e18e"
+assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.13/build.zip"
+sha1 = "e20cc9b390003c6c844f4b8bcc5c5013191a77ff"

meilisearch/tests/common/mod.rs

@@ -64,7 +64,7 @@ impl Display for Value {
         write!(
             f,
             "{}",
-            json_string!(self, { ".enqueuedAt" => "[date]", ".processedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]" })
+            json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]" })
         )
     }
 }

meilisearch/tests/documents/add_documents.rs

@@ -1760,6 +1760,181 @@ async fn add_documents_invalid_geo_field() {
       "finishedAt": "[date]"
     }
     "###);
+
+    // The three next tests are related to #4333
+
+    // _geo has a lat and lng but set to `null`
+    let documents = json!([
+        {
+            "id": "12",
+            "_geo": { "lng": null, "lat": 67}
+        }
+    ]);
+
+    let (response, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    let response = index.wait_task(response.uid()).await;
+    snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
+        @r###"
+    {
+      "uid": 14,
+      "indexUid": "test",
+      "status": "failed",
+      "type": "documentAdditionOrUpdate",
+      "canceledBy": null,
+      "details": {
+        "receivedDocuments": 1,
+        "indexedDocuments": 0
+      },
+      "error": {
+        "message": "Could not parse longitude in the document with the id: `12`. Was expecting a finite number but instead got `null`.",
+        "code": "invalid_document_geo_field",
+        "type": "invalid_request",
+        "link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
+      },
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
+
+    // _geo has a lat and lng but set to `null`
+    let documents = json!([
+        {
+            "id": "12",
+            "_geo": { "lng": 35, "lat": null }
+        }
+    ]);
+
+    let (response, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    let response = index.wait_task(response.uid()).await;
+    snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
+        @r###"
+    {
+      "uid": 15,
+      "indexUid": "test",
+      "status": "failed",
+      "type": "documentAdditionOrUpdate",
+      "canceledBy": null,
+      "details": {
+        "receivedDocuments": 1,
+        "indexedDocuments": 0
+      },
+      "error": {
+        "message": "Could not parse latitude in the document with the id: `12`. Was expecting a finite number but instead got `null`.",
+        "code": "invalid_document_geo_field",
+        "type": "invalid_request",
+        "link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
+      },
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
+
+    // _geo has a lat and lng but set to `null`
+    let documents = json!([
+        {
+            "id": "13",
+            "_geo": { "lng": null, "lat": null }
+        }
+    ]);
+
+    let (response, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    let response = index.wait_task(response.uid()).await;
+    snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
+        @r###"
+    {
+      "uid": 16,
+      "indexUid": "test",
+      "status": "failed",
+      "type": "documentAdditionOrUpdate",
+      "canceledBy": null,
+      "details": {
+        "receivedDocuments": 1,
+        "indexedDocuments": 0
+      },
+      "error": {
+        "message": "Could not parse latitude nor longitude in the document with the id: `13`. Was expecting finite numbers but instead got `null` and `null`.",
+        "code": "invalid_document_geo_field",
+        "type": "invalid_request",
+        "link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
+      },
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
+}
+
+// Related to #4333
+#[actix_rt::test]
+async fn add_invalid_geo_and_then_settings() {
+    let server = Server::new().await;
+    let index = server.index("test");
+    index.create(Some("id")).await;
+
+    // _geo is not an object
+    let documents = json!([
+        {
+            "id": "11",
+            "_geo": { "lat": null, "lng": null },
+        }
+    ]);
+    let (ret, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    let ret = index.wait_task(ret.uid()).await;
+    snapshot!(ret, @r###"
+    {
+      "uid": 1,
+      "indexUid": "test",
+      "status": "succeeded",
+      "type": "documentAdditionOrUpdate",
+      "canceledBy": null,
+      "details": {
+        "receivedDocuments": 1,
+        "indexedDocuments": 1
+      },
+      "error": null,
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
+
+    let (ret, code) = index.update_settings(json!({"sortableAttributes": ["_geo"]})).await;
+    snapshot!(code, @"202 Accepted");
+    let ret = index.wait_task(ret.uid()).await;
+    snapshot!(ret, @r###"
+    {
+      "uid": 2,
+      "indexUid": "test",
+      "status": "failed",
+      "type": "settingsUpdate",
+      "canceledBy": null,
+      "details": {
+        "sortableAttributes": [
+          "_geo"
+        ]
+      },
+      "error": {
+        "message": "Could not parse latitude in the document with the id: `\"11\"`. Was expecting a finite number but instead got `null`.",
+        "code": "invalid_document_geo_field",
+        "type": "invalid_request",
+        "link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
+      },
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
 }
 
 #[actix_rt::test]

meilisearch/tests/search/hybrid.rs

@@ -87,6 +87,52 @@ async fn simple_search() {
     snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_semanticScore":0.9472136}]"###);
 }
 
+#[actix_rt::test]
+async fn highlighter() {
+    let server = Server::new().await;
+    let index = index_with_documents(&server, &SIMPLE_SEARCH_DOCUMENTS).await;
+
+    let (response, code) = index
+        .search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
+            "hybrid": {"semanticRatio": 0.2},
+            "attributesToHighlight": [
+                     "desc"
+                   ],
+                   "highlightPreTag": "**BEGIN**",
+                   "highlightPostTag": "**END**"
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}}},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}}},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}}}]"###);
+
+    let (response, code) = index
+        .search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
+            "hybrid": {"semanticRatio": 0.8},
+            "attributesToHighlight": [
+                     "desc"
+                   ],
+                   "highlightPreTag": "**BEGIN**",
+                   "highlightPostTag": "**END**"
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the **BEGIN**Marvel**END** Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a **BEGIN**Captain**END** **BEGIN**Marvel**END** ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}},"_semanticScore":0.9472136}]"###);
+
+    // no highlighting on full semantic
+    let (response, code) = index
+        .search_post(json!({"q": "Captain Marvel", "vector": [1.0, 1.0],
+            "hybrid": {"semanticRatio": 1.0},
+            "attributesToHighlight": [
+                     "desc"
+                   ],
+                   "highlightPreTag": "**BEGIN**",
+                   "highlightPostTag": "**END**"
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(response["hits"], @r###"[{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":[2.0,3.0]},"_formatted":{"title":"Captain Marvel","desc":"a Shazam ersatz","id":"3","_vectors":{"default":["2.0","3.0"]}},"_semanticScore":0.99029034},{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":[1.0,2.0]},"_formatted":{"title":"Captain Planet","desc":"He's not part of the Marvel Cinematic Universe","id":"2","_vectors":{"default":["1.0","2.0"]}},"_semanticScore":0.97434163},{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":[1.0,3.0]},"_formatted":{"title":"Shazam!","desc":"a Captain Marvel ersatz","id":"1","_vectors":{"default":["1.0","3.0"]}}}]"###);
+}
+
 #[actix_rt::test]
 async fn invalid_semantic_ratio() {
     let server = Server::new().await;

milli/src/search/hybrid.rs

@@ -102,7 +102,7 @@ impl ScoreWithRatioResult {
         }
 
         SearchResult {
-            matching_words: left.matching_words,
+            matching_words: right.matching_words,
             candidates: left.candidates | right.candidates,
             documents_ids,
             document_scores,

milli/src/update/index_documents/extract/extract_geo_points.rs

@@ -34,7 +34,9 @@ pub fn extract_geo_points<R: io::Read + io::Seek>(
         // since we only need the primary key when we throw an error
         // we create this getter to lazily get it when needed
         let document_id = || -> Value {
-            let document_id = obkv.get(primary_key_id).unwrap();
+            let reader = KvReaderDelAdd::new(obkv.get(primary_key_id).unwrap());
+            let document_id =
+                reader.get(DelAdd::Deletion).or(reader.get(DelAdd::Addition)).unwrap();
             serde_json::from_slice(document_id).unwrap()
         };
 

milli/src/update/index_documents/extract/extract_vector_points.rs

@@ -339,9 +339,7 @@ pub fn extract_embeddings<R: io::Read + io::Seek>(
     indexer: GrenadParameters,
     embedder: Arc<Embedder>,
 ) -> Result<grenad::Reader<BufReader<File>>> {
-    let rt = tokio::runtime::Builder::new_current_thread().enable_io().enable_time().build()?;
-
-    let n_chunks = embedder.chunk_count_hint(); // chunk level parellelism
+    let n_chunks = embedder.chunk_count_hint(); // chunk level parallelism
     let n_vectors_per_chunk = embedder.prompt_count_in_chunk_hint(); // number of vectors in a single chunk
 
     // docid, state with embedding
@@ -375,11 +373,8 @@ pub fn extract_embeddings<R: io::Read + io::Seek>(
         current_chunk_ids.push(docid);
 
         if chunks.len() == chunks.capacity() {
-            let chunked_embeds = rt
-                .block_on(
-                    embedder
-                        .embed_chunks(std::mem::replace(&mut chunks, Vec::with_capacity(n_chunks))),
-                )
+            let chunked_embeds = embedder
+                .embed_chunks(std::mem::replace(&mut chunks, Vec::with_capacity(n_chunks)))
                 .map_err(crate::vector::Error::from)
                 .map_err(crate::Error::from)?;
 
@@ -396,8 +391,8 @@ pub fn extract_embeddings<R: io::Read + io::Seek>(
 
     // send last chunk
     if !chunks.is_empty() {
-        let chunked_embeds = rt
-            .block_on(embedder.embed_chunks(std::mem::take(&mut chunks)))
+        let chunked_embeds = embedder
+            .embed_chunks(std::mem::take(&mut chunks))
             .map_err(crate::vector::Error::from)
             .map_err(crate::Error::from)?;
         for (docid, embeddings) in chunks_ids
@@ -410,13 +405,15 @@ pub fn extract_embeddings<R: io::Read + io::Seek>(
     }
 
     if !current_chunk.is_empty() {
-        let embeds = rt
-            .block_on(embedder.embed(std::mem::take(&mut current_chunk)))
+        let embeds = embedder
+            .embed_chunks(vec![std::mem::take(&mut current_chunk)])
             .map_err(crate::vector::Error::from)
             .map_err(crate::Error::from)?;
 
-        for (docid, embeddings) in current_chunk_ids.iter().zip(embeds.iter()) {
-            state_writer.insert(docid.to_be_bytes(), cast_slice(embeddings.as_inner()))?;
+        if let Some(embeds) = embeds.first() {
+            for (docid, embeddings) in current_chunk_ids.iter().zip(embeds.iter()) {
+                state_writer.insert(docid.to_be_bytes(), cast_slice(embeddings.as_inner()))?;
+            }
         }
     }
 

milli/src/vector/error.rs

@@ -67,6 +67,10 @@ pub enum EmbedErrorKind {
     OpenAiUnhandledStatusCode(u16),
     #[error("attempt to embed the following text in a configuration where embeddings must be user provided: {0:?}")]
     ManualEmbed(String),
+    #[error("could not initialize asynchronous runtime: {0}")]
+    OpenAiRuntimeInit(std::io::Error),
+    #[error("initializing web client for sending embedding requests failed: {0}")]
+    InitWebClient(reqwest::Error),
 }
 
 impl EmbedError {
@@ -117,6 +121,14 @@ impl EmbedError {
     pub(crate) fn embed_on_manual_embedder(texts: String) -> EmbedError {
         Self { kind: EmbedErrorKind::ManualEmbed(texts), fault: FaultSource::User }
     }
+
+    pub(crate) fn openai_runtime_init(inner: std::io::Error) -> EmbedError {
+        Self { kind: EmbedErrorKind::OpenAiRuntimeInit(inner), fault: FaultSource::Runtime }
+    }
+
+    pub fn openai_initialize_web_client(inner: reqwest::Error) -> Self {
+        Self { kind: EmbedErrorKind::InitWebClient(inner), fault: FaultSource::Runtime }
+    }
 }
 
 #[derive(Debug, thiserror::Error)]
@@ -183,10 +195,6 @@ impl NewEmbedderError {
         }
     }
 
-    pub fn openai_initialize_web_client(inner: reqwest::Error) -> Self {
-        Self { kind: NewEmbedderErrorKind::InitWebClient(inner), fault: FaultSource::Runtime }
-    }
-
     pub fn openai_invalid_api_key_format(inner: reqwest::header::InvalidHeaderValue) -> Self {
         Self { kind: NewEmbedderErrorKind::InvalidApiKeyFormat(inner), fault: FaultSource::User }
     }
@@ -237,8 +245,6 @@ pub enum NewEmbedderErrorKind {
     #[error("loading model failed: {0}")]
     LoadModel(candle_core::Error),
     // openai
-    #[error("initializing web client for sending embedding requests failed: {0}")]
-    InitWebClient(reqwest::Error),
     #[error("The API key passed to Authorization error was in an invalid format: {0}")]
     InvalidApiKeyFormat(reqwest::header::InvalidHeaderValue),
 }

milli/src/vector/hf.rs

@@ -145,7 +145,8 @@ impl Embedder {
         let token_ids = tokens
             .iter()
             .map(|tokens| {
-                let tokens = tokens.get_ids().to_vec();
+                let mut tokens = tokens.get_ids().to_vec();
+                tokens.truncate(512);
                 Tensor::new(tokens.as_slice(), &self.model.device).map_err(EmbedError::tensor_shape)
             })
             .collect::<Result<Vec<_>, EmbedError>>()?;

milli/src/vector/mod.rs

@@ -163,18 +163,24 @@ impl Embedder {
     ) -> std::result::Result<Vec<Embeddings<f32>>, EmbedError> {
         match self {
             Embedder::HuggingFace(embedder) => embedder.embed(texts),
-            Embedder::OpenAi(embedder) => embedder.embed(texts).await,
+            Embedder::OpenAi(embedder) => {
+                let client = embedder.new_client()?;
+                embedder.embed(texts, &client).await
+            }
             Embedder::UserProvided(embedder) => embedder.embed(texts),
         }
     }
 
-    pub async fn embed_chunks(
+    /// # Panics
+    ///
+    /// - if called from an asynchronous context
+    pub fn embed_chunks(
         &self,
         text_chunks: Vec<Vec<String>>,
     ) -> std::result::Result<Vec<Vec<Embeddings<f32>>>, EmbedError> {
         match self {
             Embedder::HuggingFace(embedder) => embedder.embed_chunks(text_chunks),
-            Embedder::OpenAi(embedder) => embedder.embed_chunks(text_chunks).await,
+            Embedder::OpenAi(embedder) => embedder.embed_chunks(text_chunks),
             Embedder::UserProvided(embedder) => embedder.embed_chunks(text_chunks),
         }
     }

milli/src/vector/openai.rs

@@ -8,7 +8,7 @@ use super::{DistributionShift, Embedding, Embeddings};
 
 #[derive(Debug)]
 pub struct Embedder {
-    client: reqwest::Client,
+    headers: reqwest::header::HeaderMap,
     tokenizer: tiktoken_rs::CoreBPE,
     options: EmbedderOptions,
 }
@@ -95,6 +95,13 @@ impl EmbedderOptions {
 }
 
 impl Embedder {
+    pub fn new_client(&self) -> Result<reqwest::Client, EmbedError> {
+        reqwest::ClientBuilder::new()
+            .default_headers(self.headers.clone())
+            .build()
+            .map_err(EmbedError::openai_initialize_web_client)
+    }
+
     pub fn new(options: EmbedderOptions) -> Result<Self, NewEmbedderError> {
         let mut headers = reqwest::header::HeaderMap::new();
         let mut inferred_api_key = Default::default();
@@ -111,25 +118,25 @@ impl Embedder {
             reqwest::header::CONTENT_TYPE,
             reqwest::header::HeaderValue::from_static("application/json"),
         );
-        let client = reqwest::ClientBuilder::new()
-            .default_headers(headers)
-            .build()
-            .map_err(NewEmbedderError::openai_initialize_web_client)?;
 
         // looking at the code it is very unclear that this can actually fail.
         let tokenizer = tiktoken_rs::cl100k_base().unwrap();
 
-        Ok(Self { options, client, tokenizer })
+        Ok(Self { options, headers, tokenizer })
     }
 
-    pub async fn embed(&self, texts: Vec<String>) -> Result<Vec<Embeddings<f32>>, EmbedError> {
+    pub async fn embed(
+        &self,
+        texts: Vec<String>,
+        client: &reqwest::Client,
+    ) -> Result<Vec<Embeddings<f32>>, EmbedError> {
         let mut tokenized = false;
 
         for attempt in 0..7 {
             let result = if tokenized {
-                self.try_embed_tokenized(&texts).await
+                self.try_embed_tokenized(&texts, client).await
             } else {
-                self.try_embed(&texts).await
+                self.try_embed(&texts, client).await
             };
 
             let retry_duration = match result {
@@ -145,9 +152,9 @@ impl Embedder {
         }
 
         let result = if tokenized {
-            self.try_embed_tokenized(&texts).await
+            self.try_embed_tokenized(&texts, client).await
         } else {
-            self.try_embed(&texts).await
+            self.try_embed(&texts, client).await
         };
 
         result.map_err(Retry::into_error)
@@ -225,13 +232,13 @@ impl Embedder {
     async fn try_embed<S: AsRef<str> + serde::Serialize>(
         &self,
         texts: &[S],
+        client: &reqwest::Client,
     ) -> Result<Vec<Embeddings<f32>>, Retry> {
         for text in texts {
             log::trace!("Received prompt: {}", text.as_ref())
         }
         let request = OpenAiRequest { model: self.options.embedding_model.name(), input: texts };
-        let response = self
-            .client
+        let response = client
             .post(OPENAI_EMBEDDINGS_URL)
             .json(&request)
             .send()
@@ -256,7 +263,11 @@ impl Embedder {
             .collect())
     }
 
-    async fn try_embed_tokenized(&self, text: &[String]) -> Result<Vec<Embeddings<f32>>, Retry> {
+    async fn try_embed_tokenized(
+        &self,
+        text: &[String],
+        client: &reqwest::Client,
+    ) -> Result<Vec<Embeddings<f32>>, Retry> {
         pub const OVERLAP_SIZE: usize = 200;
         let mut all_embeddings = Vec::with_capacity(text.len());
         for text in text {
@@ -264,7 +275,7 @@ impl Embedder {
             let encoded = self.tokenizer.encode_ordinary(text.as_str());
             let len = encoded.len();
             if len < max_token_count {
-                all_embeddings.append(&mut self.try_embed(&[text]).await?);
+                all_embeddings.append(&mut self.try_embed(&[text], client).await?);
                 continue;
             }
 
@@ -273,22 +284,26 @@ impl Embedder {
                 Embeddings::new(self.options.embedding_model.dimensions());
             while tokens.len() > max_token_count {
                 let window = &tokens[..max_token_count];
-                embeddings_for_prompt.push(self.embed_tokens(window).await?).unwrap();
+                embeddings_for_prompt.push(self.embed_tokens(window, client).await?).unwrap();
 
                 tokens = &tokens[max_token_count - OVERLAP_SIZE..];
             }
 
             // end of text
-            embeddings_for_prompt.push(self.embed_tokens(tokens).await?).unwrap();
+            embeddings_for_prompt.push(self.embed_tokens(tokens, client).await?).unwrap();
 
             all_embeddings.push(embeddings_for_prompt);
         }
         Ok(all_embeddings)
     }
 
-    async fn embed_tokens(&self, tokens: &[usize]) -> Result<Embedding, Retry> {
+    async fn embed_tokens(
+        &self,
+        tokens: &[usize],
+        client: &reqwest::Client,
+    ) -> Result<Embedding, Retry> {
         for attempt in 0..9 {
-            let duration = match self.try_embed_tokens(tokens).await {
+            let duration = match self.try_embed_tokens(tokens, client).await {
                 Ok(embedding) => return Ok(embedding),
                 Err(retry) => retry.into_duration(attempt),
             }
@@ -297,14 +312,19 @@ impl Embedder {
             tokio::time::sleep(duration).await;
         }
 
-        self.try_embed_tokens(tokens).await.map_err(|retry| Retry::give_up(retry.into_error()))
+        self.try_embed_tokens(tokens, client)
+            .await
+            .map_err(|retry| Retry::give_up(retry.into_error()))
     }
 
-    async fn try_embed_tokens(&self, tokens: &[usize]) -> Result<Embedding, Retry> {
+    async fn try_embed_tokens(
+        &self,
+        tokens: &[usize],
+        client: &reqwest::Client,
+    ) -> Result<Embedding, Retry> {
         let request =
             OpenAiTokensRequest { model: self.options.embedding_model.name(), input: tokens };
-        let response = self
-            .client
+        let response = client
             .post(OPENAI_EMBEDDINGS_URL)
             .json(&request)
             .send()
@@ -322,12 +342,19 @@ impl Embedder {
         Ok(response.data.pop().map(|data| data.embedding).unwrap_or_default())
     }
 
-    pub async fn embed_chunks(
+    pub fn embed_chunks(
         &self,
         text_chunks: Vec<Vec<String>>,
     ) -> Result<Vec<Vec<Embeddings<f32>>>, EmbedError> {
-        futures::future::try_join_all(text_chunks.into_iter().map(|prompts| self.embed(prompts)))
-            .await
+        let rt = tokio::runtime::Builder::new_current_thread()
+            .enable_io()
+            .enable_time()
+            .build()
+            .map_err(EmbedError::openai_runtime_init)?;
+        let client = self.new_client()?;
+        rt.block_on(futures::future::try_join_all(
+            text_chunks.into_iter().map(|prompts| self.embed(prompts, &client)),
+        ))
     }
 
     pub fn chunk_count_hint(&self) -> usize {