Feat: Added Contextual AI's Generative and Reranker Client

integration/test_collection_openai.py

@@ -740,3 +740,125 @@ def test_near_text_generate_with_dynamic_rag(
             assert g0.debug is None
             assert g0.metadata is None
             assert g1.metadata is None
+
+
+@pytest.mark.parametrize("parameter,answer", [("text", "yes"), ("content", "no")])
+def test_contextualai_generative_search_single(
+    collection_factory: CollectionFactory, parameter: str, answer: str
+) -> None:
+    """Test Contextual AI generative search with single prompt."""
+    api_key = os.environ.get("CONTEXTUAL_API_KEY")
+    if api_key is None:
+        pytest.skip("No Contextual AI API key found.")
+
+    collection = collection_factory(
+        name="TestContextualAIGenerativeSingle",
+        generative_config=Configure.Generative.contextualai(
+            model="v2",
+            max_tokens=100,
+            temperature=0.1,
+            system_prompt="You are a helpful assistant that provides accurate and informative responses based on the given context. Answer with yes or no only.",
+            avoid_commentary=False,
+        ),
+        vectorizer_config=Configure.Vectorizer.none(),
+        properties=[
+            Property(name="text", data_type=DataType.TEXT),
+            Property(name="content", data_type=DataType.TEXT),
+        ],
+        headers={"X-Contextual-Api-Key": api_key},
+        ports=(8086, 50057),
+    )
+    if collection._connection._weaviate_version.is_lower_than(1, 23, 1):
+        pytest.skip("Generative search requires Weaviate 1.23.1 or higher")
+
+    collection.data.insert_many(
+        [
+            DataObject(properties={"text": "bananas are great", "content": "bananas are bad"}),
+            DataObject(properties={"text": "apples are great", "content": "apples are bad"}),
+        ]
+    )
+
+    res = collection.generate.fetch_objects(
+        single_prompt=f"is it good or bad based on {{{parameter}}}? Just answer with yes or no without punctuation",
+    )
+    for obj in res.objects:
+        assert obj.generated is not None
+        assert obj.generated.lower() == answer
+    assert res.generated is None
+
+
+def test_contextualai_generative_and_rerank_combined(collection_factory: CollectionFactory) -> None:
+    """Test Contextual AI generative search combined with reranking."""
+    contextual_api_key = os.environ.get("CONTEXTUAL_API_KEY")
+    if contextual_api_key is None:
+        pytest.skip("No Contextual AI API key found.")
+
+    collection = collection_factory(
+        name="TestContextualAIGenerativeAndRerank",
+        generative_config=Configure.Generative.contextualai(
+            model="v2",
+            max_tokens=100,
+            temperature=0.1,
+            system_prompt="You are a helpful assistant that provides accurate and informative responses based on the given context.",
+            avoid_commentary=False,
+        ),
+        reranker_config=Configure.Reranker.contextualai(
+            model="ctxl-rerank-v2-instruct-multilingual",
+            instruction="Prioritize documents that contain the query term",
+        ),
+        vectorizer_config=Configure.Vectorizer.text2vec_openai(),
+        properties=[Property(name="text", data_type=DataType.TEXT)],
+        headers={"X-Contextual-Api-Key": contextual_api_key},
+        ports=(8086, 50057),
+    )
+    if collection._connection._weaviate_version < _ServerVersion(1, 23, 1):
+        pytest.skip("Generative reranking requires Weaviate 1.23.1 or higher")
+
+    insert = collection.data.insert_many(
+        [{"text": "This is a test"}, {"text": "This is another test"}]
+    )
+    uuid1 = insert.uuids[0]
+    vector1 = collection.query.fetch_object_by_id(uuid1, include_vector=True).vector
+    assert vector1 is not None
+
+    for _idx, query in enumerate(
+        [
+            lambda: collection.generate.bm25(
+                "test",
+                rerank=Rerank(prop="text", query="another"),
+                single_prompt="What is it? {text}",
+            ),
+            lambda: collection.generate.hybrid(
+                "test",
+                rerank=Rerank(prop="text", query="another"),
+                single_prompt="What is it? {text}",
+            ),
+            lambda: collection.generate.near_object(
+                uuid1,
+                rerank=Rerank(prop="text", query="another"),
+                single_prompt="What is it? {text}",
+            ),
+            lambda: collection.generate.near_vector(
+                vector1["default"],
+                rerank=Rerank(prop="text", query="another"),
+                single_prompt="What is it? {text}",
+            ),
+            lambda: collection.generate.near_text(
+                "test",
+                rerank=Rerank(prop="text", query="another"),
+                single_prompt="What is it? {text}",
+            ),
+        ]
+    ):
+        objects = query().objects
+        assert len(objects) == 2
+        assert objects[0].metadata.rerank_score is not None
+        assert objects[0].generated is not None
+        assert objects[1].metadata.rerank_score is not None
+        assert objects[1].generated is not None
+
+        assert [obj for obj in objects if "another" in obj.properties["text"]][  # type: ignore
+            0
+        ].metadata.rerank_score > [
+            obj for obj in objects if "another" not in obj.properties["text"]
+        ][0].metadata.rerank_score

integration/test_collection_rerank.py

@@ -138,3 +138,61 @@ def test_queries_with_rerank_and_group_by(collection_factory: CollectionFactory)
         ].rerank_score > [group for prop, group in ret.groups.items() if "another" not in prop][
             0
         ].rerank_score
+
+
+def test_queries_with_rerank_contextualai(collection_factory: CollectionFactory) -> None:
+    """Test Contextual AI reranker with various query types."""
+    api_key = os.environ.get("CONTEXTUAL_API_KEY")
+    if api_key is None:
+        pytest.skip("No Contextual AI API key found.")
+
+    collection = collection_factory(
+        name="Test_test_queries_with_rerank_contextualai",
+        reranker_config=wvc.config.Configure.Reranker.contextualai(
+            model="ctxl-rerank-v2-instruct-multilingual",
+            instruction="Prioritize documents that contain the query term",
+        ),
+        vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),
+        properties=[wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)],
+        headers={"X-Contextual-Api-Key": api_key},
+        ports=(8086, 50057),
+    )
+    if collection._connection._weaviate_version.is_lower_than(1, 23, 1):
+        pytest.skip("Reranking requires Weaviate 1.23.1 or higher")
+
+    insert = collection.data.insert_many(
+        [{"text": "This is a test"}, {"text": "This is another test"}]
+    )
+    uuid1 = insert.uuids[0]
+    vector1 = collection.query.fetch_object_by_id(uuid1, include_vector=True).vector
+    assert vector1 is not None
+
+    for _idx, query in enumerate(
+        [
+            lambda: collection.query.bm25(
+                "test", rerank=wvc.query.Rerank(prop="text", query="another")
+            ),
+            lambda: collection.query.hybrid(
+                "test", rerank=wvc.query.Rerank(prop="text", query="another")
+            ),
+            lambda: collection.query.near_object(
+                uuid1, rerank=wvc.query.Rerank(prop="text", query="another")
+            ),
+            lambda: collection.query.near_vector(
+                vector1["default"], rerank=wvc.query.Rerank(prop="text", query="another")
+            ),
+            lambda: collection.query.near_text(
+                "test", rerank=wvc.query.Rerank(prop="text", query="another")
+            ),
+        ]
+    ):
+        objects = query().objects
+        assert len(objects) == 2
+        assert objects[0].metadata.rerank_score is not None
+        assert objects[1].metadata.rerank_score is not None
+
+        assert [obj for obj in objects if "another" in obj.properties["text"]][  # type: ignore
+            0
+        ].metadata.rerank_score > [
+            obj for obj in objects if "another" not in obj.properties["text"]
+        ][0].metadata.rerank_score

test/collection/test_classes_generative.py

@@ -414,6 +414,29 @@ def test_generative_parameters_images_parsing(
                 ),
             ),
         ),
+        (
+            GenerativeConfig.contextualai(
+                base_url="http://localhost:8080",
+                model="v2",
+                max_tokens=100,
+                temperature=0.5,
+                top_p=0.9,
+                system_prompt="You are a helpful assistant that provides accurate and informative responses based on the given context.",
+                avoid_commentary=False,
+            )._to_grpc(_GenerativeConfigRuntimeOptions(return_metadata=True)),
+            generative_pb2.GenerativeProvider(
+                return_metadata=True,
+                contextualai=generative_pb2.GenerativeContextualAI(
+                    base_url="http://localhost:8080",
+                    model="v2",
+                    max_tokens=100,
+                    temperature=0.5,
+                    top_p=0.9,
+                    system_prompt="You are a helpful assistant that provides accurate and informative responses based on the given context.",
+                    avoid_commentary=False,
+                ),
+            ),
+        ),
     ],
 )
 def test_generative_provider_to_grpc(

test/collection/test_config.py

@@ -1043,6 +1043,34 @@ def test_config_with_vectorizer_and_properties(
             }
         },
     ),
+    (
+        Configure.Generative.contextualai(),
+        {
+            "generative-contextualai": {},
+        },
+    ),
+    (
+        Configure.Generative.contextualai(
+            model="v2",
+            max_tokens=512,
+            temperature=0.7,
+            top_p=0.9,
+            system_prompt="You are a helpful assistant that provides accurate and informative responses based on the given context.",
+            avoid_commentary=False,
+            base_url="https://api.contextual.ai",
+        ),
+        {
+            "generative-contextualai": {
+                "model": "v2",
+                "maxTokensProperty": 512,
+                "temperatureProperty": 0.7,
+                "topPProperty": 0.9,
+                "systemPromptProperty": "You are a helpful assistant that provides accurate and informative responses based on the given context.",
+                "avoidCommentaryProperty": False,
+                "baseURL": "https://api.contextual.ai/",
+            }
+        },
+    ),
 ]
 
 
@@ -1125,6 +1153,28 @@ def test_config_with_generative(
             "reranker-transformers": {},
         },
     ),
+    (
+        Configure.Reranker.contextualai(),
+        {
+            "reranker-contextualai": {},
+        },
+    ),
+    (
+        Configure.Reranker.contextualai(
+            model="ctxl-rerank-v2-instruct-multilingual",
+            instruction="Prioritize recent documents",
+            top_n=5,
+            base_url="https://api.contextual.ai",
+        ),
+        {
+            "reranker-contextualai": {
+                "model": "ctxl-rerank-v2-instruct-multilingual",
+                "instruction": "Prioritize recent documents",
+                "topN": 5,
+                "baseURL": "https://api.contextual.ai",
+            }
+        },
+    ),
 ]