diff --git a/.github/workflows/test-suite.yml b/.github/workflows/test-suite.yml
index fae93bd66..59436e0bc 100644
--- a/.github/workflows/test-suite.yml
+++ b/.github/workflows/test-suite.yml
@@ -4,7 +4,7 @@ on:
   workflow_dispatch:
   schedule:
     # Everyday at 5:00am
-    - cron: '0 5 * * *'
+    - cron: "0 5 * * *"
   pull_request:
   push:
     # trying and staging branches are for Bors config
@@ -84,10 +84,42 @@ jobs:
       - uses: dtolnay/rust-toolchain@1.81
       - name: Run cargo build with almost all features
         run: |
-          cargo build --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda)"
+          cargo build --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda,test-ollama)"
       - name: Run cargo test with almost all features
         run: |
-          cargo test --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda)"
+          cargo test --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda,test-ollama)"
+
+  ollama-ubuntu:
+    name: Test with Ollama
+    runs-on: ubuntu-latest
+    env:
+      MEILI_TEST_OLLAMA_SERVER: "http://localhost:11434"
+    steps:
+      - uses: actions/checkout@v1
+      - name: Install Ollama
+        run: |
+          curl -fsSL https://ollama.com/install.sh | sudo -E sh
+      - name: Start serving
+        run: |
+          # Run it in the background, there is no way to daemonise at the moment
+          ollama serve &
+
+          # A short pause is required before the HTTP port is opened
+          sleep 5
+
+          # This endpoint blocks until ready
+          time curl -i http://localhost:11434
+
+      - name: Pull nomic-embed-text & all-minilm
+        run: |
+          ollama pull nomic-embed-text
+          ollama pull all-minilm
+
+      - name: Run cargo test
+        uses: actions-rs/cargo@v1
+        with:
+          command: test
+          args: --locked --release --all --features test-ollama ollama
 
   test-disabled-tokenization:
     name: Test disabled tokenization
diff --git a/crates/meilisearch/Cargo.toml b/crates/meilisearch/Cargo.toml
index 1baff114f..60af4dcba 100644
--- a/crates/meilisearch/Cargo.toml
+++ b/crates/meilisearch/Cargo.toml
@@ -145,6 +145,7 @@ zip = { version = "2.2.2", optional = true }
 [features]
 default = ["meilisearch-types/all-tokenizations", "mini-dashboard"]
 swagger = ["utoipa-scalar"]
+test-ollama = []
 mini-dashboard = [
     "static-files",
     "anyhow",
diff --git a/crates/meilisearch/tests/vector/mod.rs b/crates/meilisearch/tests/vector/mod.rs
index 7dc865e0e..67da51702 100644
--- a/crates/meilisearch/tests/vector/mod.rs
+++ b/crates/meilisearch/tests/vector/mod.rs
@@ -1,4 +1,6 @@
 mod binary_quantized;
+#[cfg(feature = "test-ollama")]
+mod ollama;
 mod openai;
 mod rest;
 mod settings;
diff --git a/crates/meilisearch/tests/vector/ollama.rs b/crates/meilisearch/tests/vector/ollama.rs
new file mode 100644
index 000000000..eb80758df
--- /dev/null
+++ b/crates/meilisearch/tests/vector/ollama.rs
@@ -0,0 +1,733 @@
+//! Tests ollama embedders with the server at the location described by `MEILI_TEST_OLLAMA_SERVER` environment variable.
+
+use std::env::VarError;
+
+use meili_snap::{json_string, snapshot};
+
+use crate::common::{GetAllDocumentsOptions, Value};
+use crate::json;
+use crate::vector::get_server_vector;
+
+pub enum Endpoint {
+    /// Deprecated, undocumented endpoint
+    Embeddings,
+    /// Current endpoint
+    Embed,
+}
+
+impl Endpoint {
+    fn suffix(&self) -> &'static str {
+        match self {
+            Endpoint::Embeddings => "/api/embeddings",
+            Endpoint::Embed => "/api/embed",
+        }
+    }
+}
+
+pub enum Model {
+    Nomic,
+    AllMinilm,
+}
+
+impl Model {
+    fn name(&self) -> &'static str {
+        match self {
+            Model::Nomic => "nomic-embed-text",
+            Model::AllMinilm => "all-minilm",
+        }
+    }
+}
+
+const DOGGO_TEMPLATE: &str = r#"{%- if doc.gender == "F" -%}Une chienne nommée {{doc.name}}, née en {{doc.birthyear}}
+        {%- else -%}
+        Un chien nommé {{doc.name}}, né en {{doc.birthyear}}
+        {%- endif %}, de race {{doc.breed}}."#;
+
+fn create_ollama_config_with_template(
+    document_template: &str,
+    model: Model,
+    endpoint: Endpoint,
+) -> Option<Value> {
+    let ollama_base_url = match std::env::var("MEILI_TEST_OLLAMA_SERVER") {
+        Ok(ollama_base_url) => ollama_base_url,
+        Err(VarError::NotPresent) => return None,
+        Err(VarError::NotUnicode(s)) => panic!(
+            "`MEILI_TEST_OLLAMA_SERVER` was not properly utf-8, `{:?}`",
+            s.as_encoded_bytes()
+        ),
+    };
+
+    Some(json!({
+        "source": "ollama",
+        "url": format!("{ollama_base_url}{}", endpoint.suffix()),
+        "documentTemplate": document_template,
+        "documentTemplateMaxBytes": 8000000,
+        "model": model.name()
+    }))
+}
+
+#[actix_rt::test]
+async fn test_both_apis() {
+    let Some(embed_settings) =
+        create_ollama_config_with_template(DOGGO_TEMPLATE, Model::AllMinilm, Endpoint::Embed)
+    else {
+        panic!("Missing `MEILI_TEST_OLLAMA_SERVER` environment variable, skipping `test_both_apis` test.");
+    };
+
+    let Some(embeddings_settings) =
+        create_ollama_config_with_template(DOGGO_TEMPLATE, Model::AllMinilm, Endpoint::Embeddings)
+    else {
+        return;
+    };
+
+    let Some(nomic_embed_settings) =
+        create_ollama_config_with_template(DOGGO_TEMPLATE, Model::Nomic, Endpoint::Embed)
+    else {
+        return;
+    };
+
+    let Some(nomic_embeddings_settings) =
+        create_ollama_config_with_template(DOGGO_TEMPLATE, Model::Nomic, Endpoint::Embeddings)
+    else {
+        return;
+    };
+
+    let server = get_server_vector().await;
+
+    let index = server.index("doggo");
+
+    let (response, code) = index
+        .update_settings(json!({
+          "embedders": {
+              "embed": embed_settings,
+              "embeddings": embeddings_settings,
+              "nomic_embed": nomic_embed_settings,
+              "nomic_embeddings": nomic_embeddings_settings,
+          },
+        }))
+        .await;
+    snapshot!(code, @"202 Accepted");
+    let task = server.wait_task(response.uid()).await;
+    snapshot!(task["status"], @r###""succeeded""###);
+    let documents = json!([
+      {"id": 0, "name": "kefir", "gender": "M", "birthyear": 2023, "breed": "Patou"},
+      {"id": 1, "name": "Intel", "gender": "M", "birthyear": 2011, "breed": "Beagle"},
+      {"id": 2, "name": "Vénus", "gender": "F", "birthyear": 2003, "breed": "Jack Russel Terrier"},
+      {"id": 3, "name": "Max", "gender": "M", "birthyear": 1995, "breed": "Labrador Retriever"},
+    ]);
+    let (value, code) = index.add_documents(documents, None).await;
+    snapshot!(code, @"202 Accepted");
+    let task = index.wait_task(value.uid()).await;
+    snapshot!(task, @r###"
+    {
+      "uid": "[uid]",
+      "batchUid": "[batch_uid]",
+      "indexUid": "doggo",
+      "status": "succeeded",
+      "type": "documentAdditionOrUpdate",
+      "canceledBy": null,
+      "details": {
+        "receivedDocuments": 4,
+        "indexedDocuments": 4
+      },
+      "error": null,
+      "duration": "[duration]",
+      "enqueuedAt": "[date]",
+      "startedAt": "[date]",
+      "finishedAt": "[date]"
+    }
+    "###);
+
+    let (documents, _code) = index
+        .get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
+        .await;
+    snapshot!(json_string!(documents, {".results.*._vectors.*.embeddings" => "[vector]"}), @r###"
+    {
+      "results": [
+        {
+          "id": 0,
+          "name": "kefir",
+          "gender": "M",
+          "birthyear": 2023,
+          "breed": "Patou",
+          "_vectors": {
+            "embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            }
+          }
+        },
+        {
+          "id": 1,
+          "name": "Intel",
+          "gender": "M",
+          "birthyear": 2011,
+          "breed": "Beagle",
+          "_vectors": {
+            "embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            }
+          }
+        },
+        {
+          "id": 2,
+          "name": "Vénus",
+          "gender": "F",
+          "birthyear": 2003,
+          "breed": "Jack Russel Terrier",
+          "_vectors": {
+            "embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            }
+          }
+        },
+        {
+          "id": 3,
+          "name": "Max",
+          "gender": "M",
+          "birthyear": 1995,
+          "breed": "Labrador Retriever",
+          "_vectors": {
+            "embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embed": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            },
+            "nomic_embeddings": {
+              "embeddings": "[vector]",
+              "regenerate": true
+            }
+          }
+        }
+      ],
+      "offset": 0,
+      "limit": 20,
+      "total": 4
+    }
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "chien de chasse",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embed"},
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "chien de chasse",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embeddings"},
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "petit chien",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embed"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "petit chien",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embeddings"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "grand chien de berger des montagnes",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embed"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "grand chien de berger des montagnes",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "embeddings"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "chien de chasse",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embed"},
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "chien de chasse",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embeddings"},
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "petit chien",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embed"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "petit chien",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embeddings"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "grand chien de berger des montagnes",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embed"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      }
+    ]
+    "###);
+
+    let (response, code) = index
+        .search_post(json!({
+            "q": "grand chien de berger des montagnes",
+            "hybrid": {"semanticRatio": 1.0, "embedder": "nomic_embeddings"}
+        }))
+        .await;
+    snapshot!(code, @"200 OK");
+    snapshot!(json_string!(response["hits"]), @r###"
+    [
+      {
+        "id": 0,
+        "name": "kefir",
+        "gender": "M",
+        "birthyear": 2023,
+        "breed": "Patou"
+      },
+      {
+        "id": 3,
+        "name": "Max",
+        "gender": "M",
+        "birthyear": 1995,
+        "breed": "Labrador Retriever"
+      },
+      {
+        "id": 2,
+        "name": "Vénus",
+        "gender": "F",
+        "birthyear": 2003,
+        "breed": "Jack Russel Terrier"
+      },
+      {
+        "id": 1,
+        "name": "Intel",
+        "gender": "M",
+        "birthyear": 2011,
+        "breed": "Beagle"
+      }
+    ]
+    "###);
+}
diff --git a/crates/xtask/src/main.rs b/crates/xtask/src/main.rs
index 942362f4f..f260bd404 100644
--- a/crates/xtask/src/main.rs
+++ b/crates/xtask/src/main.rs
@@ -6,8 +6,8 @@ use xtask::bench::BenchDeriveArgs;
 /// List features available in the workspace
 #[derive(Parser, Debug)]
 struct ListFeaturesDeriveArgs {
-    /// Feature to exclude from the list. Repeat the argument to exclude multiple features
-    #[arg(short, long)]
+    /// Feature to exclude from the list. Use a comma to separate multiple features.
+    #[arg(short, long, value_delimiter = ',')]
     exclude_feature: Vec<String>,
 }