feat(genai): add Vertex AI Search tool sample

[jdomingr]

Description

Add new GenAI Vertex AI Search tool sample

The Vertex AI Search tool with text sample works locally, but a datastore had to be created and the Discovery Engine Editor role was required to pass the test. This means that, for this sample to pass the test, the reviewer needs to create a datastore, as found in Python Vais tool sample (https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/genai/tools/test_tools_examples.py)

Note: Before submitting a pull request, please open an issue for discussion if you are not associated with Google.

Checklist

• I have followed Sample Format Guide
• Tests pass: mvn clean verify required
• Lint passes: mvn -P lint checkstyle:check required
• Static Analysis: mvn -P lint clean compile pmd:cpd-check spotbugs:check advisory only
• Please merge this PR for me once it is approved

[snippet-bot]

Here is the summary of changes.

You are about to add 1 region tag.

• genai/snippets/src/main/java/genai/tools/ToolsVaisWithText.java:19, tag googlegenaisdk_tools_vais_with_txt

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[gemini-code-assist]

Summary of Changes

Hello @jdomingr, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new sample for the Google GenAI SDK in Java, showcasing how to leverage the Vertex AI Search (VAIS) tool to provide grounded responses during content generation. The sample demonstrates the necessary client and tool configurations to enable the model to retrieve information from a specified datastore, enhancing the relevance and accuracy of generated text. This addition provides developers with a practical example of integrating external knowledge sources into their GenAI applications.

Highlights

• New GenAI SDK Sample: A new Java sample, ToolsVaisWithText.java, has been added to demonstrate how to integrate Vertex AI Search (VAIS) with the Google GenAI SDK for grounded content generation.
• Vertex AI Search Integration: The sample illustrates the configuration of the GenAI client to enable Vertex AI capabilities and the setup of a Tool object specifically for VertexAISearch, requiring a datastoreId.
• Integration Test Coverage: An integration test, testToolsVaisWithText(), has been added to ToolsIT.java to ensure the new VAIS sample functions correctly, verifying that content can be generated using the configured tool.

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[gemini-code-assist]

Code Review

This pull request introduces a new sample for using the Vertex AI Search tool with the GenAI SDK. The changes include a new sample file ToolsVaisWithText.java and a corresponding integration test in ToolsIT.java. The code is well-structured and follows the existing patterns. I have a couple of minor suggestions to improve code clarity and efficiency.

[glaforge]

• Code looks perfectly fine.
• Tested with my own VAIS and queried it (asked questions about my personal blog content)