generative-ai/snippets/grounding/groundingPublicDataBasic.js (33 lines of code) (raw):
// Copyright 2024 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
//
// https://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.
// [START generativeaionvertexai_grounding_public_data_basic]
const {VertexAI} = require('@google-cloud/vertexai');
/**
* TODO(developer): Update these variables before running the sample.
*/
async function generateContentWithGoogleSearchGrounding(
projectId = 'PROJECT_ID',
location = 'us-central1',
model = 'gemini-2.0-flash-001'
) {
// Initialize Vertex with your Cloud project and location
const vertexAI = new VertexAI({project: projectId, location: location});
const generativeModelPreview = vertexAI.preview.getGenerativeModel({
model: model,
generationConfig: {maxOutputTokens: 256},
});
const googleSearchTool = {
googleSearch: {},
};
const request = {
contents: [{role: 'user', parts: [{text: 'Why is the sky blue?'}]}],
tools: [googleSearchTool],
};
const result = await generativeModelPreview.generateContent(request);
const response = await result.response;
const groundingMetadata = response.candidates[0].groundingMetadata;
console.log(
'Response: ',
JSON.stringify(response.candidates[0].content.parts[0].text)
);
console.log('GroundingMetadata is: ', JSON.stringify(groundingMetadata));
}
// [END generativeaionvertexai_grounding_public_data_basic]
generateContentWithGoogleSearchGrounding(...process.argv.slice(2)).catch(
err => {
console.error(err.message);
process.exitCode = 1;
}
);