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fix: update RAG agent model and add auto-configuration #1217

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fix: update RAG agent model and add auto-configuration #1217

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15c242c
fix: update RAG agent model and add auto-configuration
eliasecchig Mar 4, 2026
a0203b7
Merge branch 'main' into fix/rag-agent-model-and-config
eliasecchig Mar 10, 2026
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51 changes: 31 additions & 20 deletions python/agents/RAG/rag/agent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
import os
import uuid

import google.auth
from dotenv import load_dotenv
from google.adk.agents import Agent
from google.adk.tools.retrieval.vertex_ai_rag_retrieval import (
Expand All @@ -28,32 +29,42 @@
from .prompts import return_instructions_root

load_dotenv()

_, project_id = google.auth.default()
os.environ.setdefault("GOOGLE_CLOUD_PROJECT", project_id)
os.environ["GOOGLE_CLOUD_LOCATION"] = "global"
os.environ.setdefault("GOOGLE_GENAI_USE_VERTEXAI", "True")

_ = instrument_adk_with_arize()

# Initialize tools list
tools = []

ask_vertex_retrieval = VertexAiRagRetrieval(
name="retrieve_rag_documentation",
description=(
"Use this tool to retrieve documentation and reference materials for the question from the RAG corpus,"
),
rag_resources=[
rag.RagResource(
# please fill in your own rag corpus
# here is a sample rag corpus for testing purpose
# e.g. projects/123/locations/us-central1/ragCorpora/456
rag_corpus=os.environ.get("RAG_CORPUS")
)
],
similarity_top_k=10,
vector_distance_threshold=0.6,
)
# Only add RAG retrieval tool if RAG_CORPUS is configured
rag_corpus = os.environ.get("RAG_CORPUS")
if rag_corpus:
ask_vertex_retrieval = VertexAiRagRetrieval(
name="retrieve_rag_documentation",
description=(
"Use this tool to retrieve documentation and reference materials for the question from the RAG corpus,"
),
rag_resources=[
rag.RagResource(
# please fill in your own rag corpus
# here is a sample rag corpus for testing purpose
# e.g. projects/123/locations/us-central1/ragCorpora/456
rag_corpus=rag_corpus
)
],
similarity_top_k=10,
vector_distance_threshold=0.6,
)
tools.append(ask_vertex_retrieval)

with using_session(session_id=uuid.uuid4()):
root_agent = Agent(
model="gemini-2.0-flash-001",
model="gemini-3-flash-preview",
name="ask_rag_agent",
instruction=return_instructions_root(),
tools=[
ask_vertex_retrieval,
],
tools=tools,
)
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