dev: add ADK agent with vector search tool and Google Cloud file storage implementation

rag_agent/agent.py

@@ -0,0 +1,47 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""ADK agent with vector search RAG tool."""
+
+from __future__ import annotations
+
+from google.adk.agents.llm_agent import Agent
+
+from .config_helper import settings
+from .vector_search_tool import VectorSearchTool
+
+# Create vector search tool with configuration
+vector_search_tool = VectorSearchTool(
+    name='conocimiento',
+    description='Search the vector index for company products and services information',
+    embedder=settings.embedder,
+    project_id=settings.project_id,
+    location=settings.location,
+    bucket=settings.bucket,
+    index_name=settings.index_name,
+    index_endpoint=settings.index_endpoint,
+    index_deployed_id=settings.index_deployed_id,
+    similarity_top_k=5,
+    min_similarity_threshold=0.6,
+    relative_threshold_factor=0.9,
+)
+
+# Create agent with vector search tool
+root_agent = Agent(
+    model=settings.agent_language_model,
+    name=settings.agent_name,
+    description='A helpful assistant for user questions.',
+    instruction=settings.agent_instructions,
+    tools=[vector_search_tool],
+)