File size: 1,631 Bytes
8e8a896 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
# Copyright 2025 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.
import os
from google.adk.agents import Agent
from google.adk.tools.retrieval.vertex_ai_rag_retrieval import VertexAiRagRetrieval
from vertexai.preview import rag
from dotenv import load_dotenv
from .prompts import return_instructions_root
load_dotenv()
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,
)
root_agent = Agent(
model='gemini-2.5-flash',
name='ask_rag_agent',
instruction=return_instructions_root(),
tools=[
ask_vertex_retrieval,
]
)
|