feat: Adding Feature Store Vector DB option for RAG corpuses to SDK

PiperOrigin-RevId: 673571692

tests/unit/vertex_rag/test_rag_constants.py

@@ -28,6 +28,7 @@
     JiraSource,
     JiraQuery,
     Weaviate,
+    VertexFeatureStore,
 )
 from google.cloud.aiplatform_v1beta1 import (
     GoogleDriveSource,
@@ -68,6 +69,7 @@
     collection_name=TEST_WEAVIATE_COLLECTION_NAME,
     api_key=TEST_WEAVIATE_API_KEY_SECRET_VERSION,
 )
+TEST_VERTEX_FEATURE_STORE_RESOURCE_NAME = "test-feature-view-resource-name"
 TEST_GAPIC_RAG_CORPUS = GapicRagCorpus(
     name=TEST_RAG_CORPUS_RESOURCE_NAME,
     display_name=TEST_CORPUS_DISPLAY_NAME,
@@ -94,9 +96,22 @@
         ),
     ),
 )
+TEST_GAPIC_RAG_CORPUS_VERTEX_FEATURE_STORE = GapicRagCorpus(
+    name=TEST_RAG_CORPUS_RESOURCE_NAME,
+    display_name=TEST_CORPUS_DISPLAY_NAME,
+    description=TEST_CORPUS_DISCRIPTION,
+    rag_vector_db_config=RagVectorDbConfig(
+        vertex_feature_store=RagVectorDbConfig.VertexFeatureStore(
+            feature_view_resource_name=TEST_VERTEX_FEATURE_STORE_RESOURCE_NAME
+        ),
+    ),
+)
 TEST_EMBEDDING_MODEL_CONFIG = EmbeddingModelConfig(
     publisher_model="publishers/google/models/textembedding-gecko",
 )
+TEST_VERTEX_FEATURE_STORE_CONFIG = VertexFeatureStore(
+    resource_name=TEST_VERTEX_FEATURE_STORE_RESOURCE_NAME,
+)
 TEST_RAG_CORPUS = RagCorpus(
     name=TEST_RAG_CORPUS_RESOURCE_NAME,
     display_name=TEST_CORPUS_DISPLAY_NAME,
@@ -109,6 +124,12 @@
     description=TEST_CORPUS_DISCRIPTION,
     vector_db=TEST_WEAVIATE_CONFIG,
 )
+TEST_RAG_CORPUS_VERTEX_FEATURE_STORE = RagCorpus(
+    name=TEST_RAG_CORPUS_RESOURCE_NAME,
+    display_name=TEST_CORPUS_DISPLAY_NAME,
+    description=TEST_CORPUS_DISCRIPTION,
+    vector_db=TEST_VERTEX_FEATURE_STORE_CONFIG,
+)
 TEST_PAGE_TOKEN = "test-page-token"
 
 # RagFiles

tests/unit/vertex_rag/test_rag_data.py

@@ -62,6 +62,23 @@ def create_rag_corpus_mock_weaviate():
         yield create_rag_corpus_mock_weaviate
 
 
+@pytest.fixture
+def create_rag_corpus_mock_vertex_feature_store():
+    with mock.patch.object(
+        VertexRagDataServiceClient,
+        "create_rag_corpus",
+    ) as create_rag_corpus_mock_vertex_feature_store:
+        create_rag_corpus_lro_mock = mock.Mock(ga_operation.Operation)
+        create_rag_corpus_lro_mock.done.return_value = True
+        create_rag_corpus_lro_mock.result.return_value = (
+            tc.TEST_GAPIC_RAG_CORPUS_VERTEX_FEATURE_STORE
+        )
+        create_rag_corpus_mock_vertex_feature_store.return_value = (
+            create_rag_corpus_lro_mock
+        )
+        yield create_rag_corpus_mock_vertex_feature_store
+
+
 @pytest.fixture
 def list_rag_corpora_pager_mock():
     with mock.patch.object(
@@ -216,6 +233,15 @@ def test_create_corpus_weaviate_success(self):
 
         rag_corpus_eq(rag_corpus, tc.TEST_RAG_CORPUS_WEAVIATE)
 
+    @pytest.mark.usefixtures("create_rag_corpus_mock_vertex_feature_store")
+    def test_create_corpus_vertex_feature_store_success(self):
+        rag_corpus = rag.create_corpus(
+            display_name=tc.TEST_CORPUS_DISPLAY_NAME,
+            vector_db=tc.TEST_VERTEX_FEATURE_STORE_CONFIG,
+        )
+
+        rag_corpus_eq(rag_corpus, tc.TEST_RAG_CORPUS_VERTEX_FEATURE_STORE)
+
     @pytest.mark.usefixtures("rag_data_client_mock_exception")
     def test_create_corpus_failure(self):
         with pytest.raises(RuntimeError) as e:

vertexai/preview/rag/__init__.py

@@ -45,6 +45,7 @@
     RagResource,
     SlackChannel,
     SlackChannelsSource,
+    VertexFeatureStore,
     Weaviate,
 )
 
@@ -59,6 +60,7 @@
     "Retrieval",
     "SlackChannel",
     "SlackChannelsSource",
+    "VertexFeatureStore",
     "VertexRagStore",
     "Weaviate",
     "create_corpus",

vertexai/preview/rag/rag_data.py

@@ -48,6 +48,7 @@
     RagCorpus,
     RagFile,
     SlackChannelsSource,
+    VertexFeatureStore,
     Weaviate,
 )
 
@@ -56,7 +57,7 @@ def create_corpus(
     display_name: Optional[str] = None,
     description: Optional[str] = None,
     embedding_model_config: Optional[EmbeddingModelConfig] = None,
-    vector_db: Optional[Weaviate] = None,
+    vector_db: Optional[Union[Weaviate, VertexFeatureStore]] = None,
 ) -> RagCorpus:
     """Creates a new RagCorpus resource.
 

vertexai/preview/rag/utils/_gapic_utils.py

@@ -42,6 +42,7 @@
     RagFile,
     SlackChannelsSource,
     JiraSource,
+    VertexFeatureStore,
     Weaviate,
 )
 
@@ -97,14 +98,18 @@ def convert_gapic_to_embedding_model_config(
 
 def convert_gapic_to_vector_db(
     gapic_vector_db: RagVectorDbConfig,
-) -> Weaviate:
-    """Convert Gapic RagVectorDbConfig to Weaviate."""
+) -> Union[Weaviate, VertexFeatureStore]:
+    """Convert Gapic RagVectorDbConfig to Weaviate or VertexFeatureStore."""
     if gapic_vector_db.__contains__("weaviate"):
         return Weaviate(
             weaviate_http_endpoint=gapic_vector_db.weaviate.http_endpoint,
             collection_name=gapic_vector_db.weaviate.collection_name,
             api_key=gapic_vector_db.api_auth.api_key_config.api_key_secret_version,
         )
+    elif gapic_vector_db.__contains__("vertex_feature_store"):
+        return VertexFeatureStore(
+            resource_name=gapic_vector_db.vertex_feature_store.feature_view_resource_name,
+        )
     else:
         return None
 
@@ -390,7 +395,7 @@ def set_embedding_model_config(
 
 
 def set_vector_db(
-    vector_db: Weaviate,
+    vector_db: Union[Weaviate, VertexFeatureStore],
     rag_corpus: GapicRagCorpus,
 ) -> None:
     """Sets the vector db configuration for the rag corpus."""
@@ -410,5 +415,13 @@ def set_vector_db(
                 ),
             ),
         )
+    elif isinstance(vector_db, VertexFeatureStore):
+        resource_name = vector_db.resource_name
+
+        rag_corpus.rag_vector_db_config = RagVectorDbConfig(
+            vertex_feature_store=RagVectorDbConfig.VertexFeatureStore(
+                feature_view_resource_name=resource_name,
+            ),
+        )
     else:
-        raise TypeError("vector_db must be a Weaviate.")
+        raise TypeError("vector_db must be a Weaviate or VertexFeatureStore.")

vertexai/preview/rag/utils/resources.py

@@ -16,7 +16,7 @@
 #
 
 import dataclasses
-from typing import List, Optional, Sequence
+from typing import List, Optional, Sequence, Union
 
 from google.protobuf import timestamp_pb2
 
@@ -85,6 +85,19 @@ class Weaviate:
     api_key: str
 
 
+@dataclasses.dataclass
+class VertexFeatureStore:
+    """VertexFeatureStore.
+
+    Attributes:
+        resource_name: The resource name of the FeatureView. Format:
+            ``projects/{project}/locations/{location}/featureOnlineStores/
+              {feature_online_store}/featureViews/{feature_view}``
+    """
+
+    resource_name: str
+
+
 @dataclasses.dataclass
 class RagCorpus:
     """RAG corpus(output only).
@@ -102,7 +115,7 @@ class RagCorpus:
     display_name: Optional[str] = None
     description: Optional[str] = None
     embedding_model_config: Optional[EmbeddingModelConfig] = None
-    vector_db: Optional[Weaviate] = None
+    vector_db: Optional[Union[Weaviate, VertexFeatureStore]] = None
 
 
 @dataclasses.dataclass