Stabilize vector store usage

meilisearch/index.py

@@ -281,12 +281,7 @@ def search(self, query: str, opt_params: Optional[Mapping[str, Any]] = None) ->
             String containing the searched word(s)
         opt_params (optional):
             Dictionary containing optional query parameters.
-            Note: The vector parameter is only available in Meilisearch >= v1.3.0, and is experimental
-            Meilisearch v1.3.0. In order to use this feature in Meilisearch v1.3.0 you first need to
-            enable the feature by sending a PATCH request to /experimental-features with
-            { "vectoreStore": true }. Because this feature is experimental it may be removed or
-            updated causing breaking changes in this library without a major version bump so use
-            with caution.
+            Note: The vector parameter is only available in Meilisearch >= v1.13.0
             https://www.meilisearch.com/docs/reference/api/search#search-in-an-index
 
         Returns

tests/conftest.py

@@ -2,7 +2,6 @@
 import json
 from typing import Optional
 
-import requests
 from pytest import fixture
 
 import meilisearch
@@ -213,23 +212,6 @@ def get_private_key(client):
     return key
 
 
-@fixture
-def enable_vector_search():
-    requests.patch(
-        f"{common.BASE_URL}/experimental-features",
-        headers={"Authorization": f"Bearer {common.MASTER_KEY}"},
-        json={"vectorStore": True},
-        timeout=10,
-    )
-    yield
-    requests.patch(
-        f"{common.BASE_URL}/experimental-features",
-        headers={"Authorization": f"Bearer {common.MASTER_KEY}"},
-        json={"vectorStore": False},
-        timeout=10,
-    )
-
-
 @fixture
 def new_embedders():
     return {

tests/index/test_index_search_meilisearch.py

@@ -502,7 +502,6 @@ def test_show_ranking_score(index_with_documents):
     assert response["hits"][0]["_rankingScore"] >= 0.9
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_vector_search(index_with_documents_and_vectors):
     response = index_with_documents_and_vectors().search(
         "",

tests/settings/test_settings.py

@@ -41,7 +41,6 @@ def test_get_settings_default(empty_index):
     assert response["synonyms"] == {}
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_update_settings(new_settings, empty_index):
     """Tests updating some settings."""
     index = empty_index()
@@ -61,7 +60,6 @@ def test_update_settings(new_settings, empty_index):
     assert isinstance(response["embedders"]["open_ai"], OpenAiEmbedder)
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_reset_settings(new_settings, empty_index):
     """Tests resetting all the settings to their default value."""
     index = empty_index()
@@ -94,4 +92,4 @@ def test_reset_settings(new_settings, empty_index):
     assert response["searchableAttributes"] == ["*"]
     assert response["stopWords"] == []
     assert response["synonyms"] == {}
-    assert response.get("embedders") is None
+    assert response["embedders"] == {}

tests/settings/test_settings_embedders.py

@@ -1,18 +1,15 @@
 # pylint: disable=redefined-outer-name
-import pytest
 
 from meilisearch.models.index import OpenAiEmbedder, UserProvidedEmbedder
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_get_default_embedders(empty_index):
     """Tests getting default embedders."""
     response = empty_index().get_embedders()
 
     assert response is None
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_update_embedders_with_user_provided_source(new_embedders, empty_index):
     """Tests updating embedders."""
     index = empty_index()
@@ -24,7 +21,6 @@ def test_update_embedders_with_user_provided_source(new_embedders, empty_index):
     assert isinstance(response_get.embedders["open_ai"], OpenAiEmbedder)
 
 
-@pytest.mark.usefixtures("enable_vector_search")
 def test_reset_embedders(new_embedders, empty_index):
     """Tests resetting the typo_tolerance setting to its default value."""
     index = empty_index()