Add vector search

Author: sanders41

meilisearch/index.py

@@ -243,6 +243,7 @@ def get_stats(self) -> IndexStats:
         stats = self.http.get(f"{self.config.paths.index}/{self.uid}/{self.config.paths.stat}")
         return IndexStats(stats)
 
+    @version_error_hint_message
     def search(self, query: str, opt_params: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
         """Search in the index.
 
@@ -251,7 +252,13 @@ def search(self, query: str, opt_params: Optional[Dict[str, Any]] = None) -> Dic
         query:
             String containing the searched word(s)
         opt_params (optional):
-            Dictionary containing optional query parameters
+            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.
             https://www.meilisearch.com/docs/reference/api/search#search-in-an-index
 
         Returns

tests/conftest.py

@@ -2,6 +2,7 @@
 import json
 from typing import Optional
 
+import requests
 from pytest import fixture
 
 import meilisearch
@@ -126,6 +127,19 @@ def index_maker(index_uid=common.INDEX_UID, documents=small_movies):
     return index_maker
 
 
+@fixture(scope="function")
+def index_with_documents_and_vectors(empty_index, small_movies):
+    small_movies[0]["_vectors"] = [0.1, 0.2]
+
+    def index_maker(index_uid=common.INDEX_UID, documents=small_movies):
+        index = empty_index(index_uid)
+        task = index.add_documents(documents)
+        index.wait_for_task(task.task_uid)
+        return index
+
+    return index_maker
+
+
 @fixture(scope="function")
 def test_key(client):
     key_info = {
@@ -172,3 +186,18 @@ def get_private_key(client):
     keys = client.get_keys().results
     key = next(x for x in keys if "Default Search API" in x.name)
     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},
+    )
+    yield
+    requests.patch(
+        f"{common.BASE_URL}/experimental-features",
+        headers={"Authorization": f"Bearer {common.MASTER_KEY}"},
+        json={"vectorStore": False},
+    )

tests/index/test_index_search_meilisearch.py

@@ -1,5 +1,7 @@
 # pylint: disable=invalid-name
 
+import pytest
+
 
 def test_basic_search(index_with_documents):
     """Tests search with a simple query."""
@@ -455,3 +457,13 @@ def test_attributes_to_search_on_search_no_match(index_with_documents):
         "How to Train Your Dragon", opt_params={"attributesToSearchOn": ["id"]}
     )
     assert response["hits"] == []
+
+
+@pytest.mark.usefixtures("enable_vector_search")
+def test_vector_search(index_with_documents_and_vectors):
+    response = index_with_documents_and_vectors().search(
+        "How to Train Your Dragon", opt_params={"vector": [0.1, 0.2]}
+    )
+
+    assert response["hits"][0]["id"] == "287947"
+    assert response["vector"] == [0.1, 0.2]