fix: RAG Fix v1 rag_store compatibility with generative_models Tool by changing back to v1beta1

PiperOrigin-RevId: 702520155

Author: vertex-sdk-bot

tests/unit/vertex_rag/test_rag_store.py

@@ -22,6 +22,39 @@
 
 @pytest.mark.usefixtures("google_auth_mock")
 class TestRagStoreValidations:
+    def test_retrieval_tool_success(self):
+        tool = Tool.from_retrieval(
+            retrieval=rag.Retrieval(
+                source=rag.VertexRagStore(
+                    rag_resources=[tc.TEST_RAG_RESOURCE],
+                    rag_retrieval_config=tc.TEST_RAG_RETRIEVAL_CONFIG,
+                ),
+            )
+        )
+        assert tool is not None
+
+    def test_retrieval_tool_vector_similarity_success(self):
+        tool = Tool.from_retrieval(
+            retrieval=rag.Retrieval(
+                source=rag.VertexRagStore(
+                    rag_resources=[tc.TEST_RAG_RESOURCE],
+                    rag_retrieval_config=tc.TEST_RAG_RETRIEVAL_SIMILARITY_CONFIG,
+                ),
+            )
+        )
+        assert tool is not None
+
+    def test_retrieval_tool_no_rag_resources(self):
+        with pytest.raises(ValueError) as e:
+            Tool.from_retrieval(
+                retrieval=rag.Retrieval(
+                    source=rag.VertexRagStore(
+                        rag_retrieval_config=tc.TEST_RAG_RETRIEVAL_SIMILARITY_CONFIG,
+                    ),
+                )
+            )
+            e.match("rag_resources must be specified.")
+
     def test_retrieval_tool_invalid_name(self):
         with pytest.raises(ValueError) as e:
             Tool.from_retrieval(

tests/unit/vertex_rag/test_rag_store_preview.py

@@ -73,6 +73,30 @@ def test_retrieval_tool_ranking_config_success(self):
                 )
             )
 
+    def test_empty_retrieval_tool_success(self):
+        tool = Tool.from_retrieval(
+            retrieval=rag.Retrieval(
+                source=rag.VertexRagStore(
+                    rag_resources=[test_rag_constants_preview.TEST_RAG_RESOURCE],
+                    rag_retrieval_config=rag.RagRetrievalConfig(),
+                    similarity_top_k=3,
+                    vector_distance_threshold=0.4,
+                ),
+            )
+        )
+        assert tool is not None
+
+    def test_retrieval_tool_no_rag_resources(self):
+        with pytest.raises(ValueError) as e:
+            Tool.from_retrieval(
+                retrieval=rag.Retrieval(
+                    source=rag.VertexRagStore(
+                        rag_retrieval_config=test_rag_constants_preview.TEST_RAG_RETRIEVAL_SIMILARITY_CONFIG,
+                    ),
+                )
+            )
+            e.match("rag_resources or rag_corpora must be specified.")
+
     def test_retrieval_tool_invalid_name(self):
         with pytest.raises(ValueError) as e:
             Tool.from_retrieval(

vertexai/rag/rag_store.py

@@ -19,10 +19,10 @@
 import re
 from typing import List, Optional, Union
 
-from google.cloud import aiplatform_v1
+from google.cloud import aiplatform_v1beta1
 from google.cloud.aiplatform import initializer
-from google.cloud.aiplatform_v1.types import tool as gapic_tool_types
-from vertexai.preview import generative_models
+from google.cloud.aiplatform_v1beta1.types import tool as gapic_tool_types
+from vertexai import generative_models
 from vertexai.rag.utils import _gapic_utils
 from vertexai.rag.utils import resources
 
@@ -103,7 +103,7 @@ def __init__(
             )
 
         # If rag_retrieval_config is not specified, set it to default values.
-        api_retrieval_config = aiplatform_v1.RagRetrievalConfig()
+        api_retrieval_config = aiplatform_v1beta1.RagRetrievalConfig()
         # If rag_retrieval_config is specified, populate the default config.
         if rag_retrieval_config:
             api_retrieval_config.top_k = rag_retrieval_config.top_k
@@ -128,17 +128,11 @@ def __init__(
                     rag_retrieval_config.filter.vector_similarity_threshold
                 )
 
-        if rag_resources:
-            gapic_rag_resource = gapic_tool_types.VertexRagStore.RagResource(
-                rag_corpus=rag_corpus_name,
-                rag_file_ids=rag_resources[0].rag_file_ids,
-            )
-            self._raw_vertex_rag_store = gapic_tool_types.VertexRagStore(
-                rag_resources=[gapic_rag_resource],
-                rag_retrieval_config=api_retrieval_config,
-            )
-        else:
-            self._raw_vertex_rag_store = gapic_tool_types.VertexRagStore(
-                rag_corpora=[rag_corpus_name],
-                rag_retrieval_config=api_retrieval_config,
-            )
+        gapic_rag_resource = gapic_tool_types.VertexRagStore.RagResource(
+            rag_corpus=rag_corpus_name,
+            rag_file_ids=rag_resources[0].rag_file_ids,
+        )
+        self._raw_vertex_rag_store = gapic_tool_types.VertexRagStore(
+            rag_resources=[gapic_rag_resource],
+            rag_retrieval_config=api_retrieval_config,
+        )