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hands-on lab

Building Data-Aware Agents with Vertex AI Search

Difficulty: Beginner
Duration: Up to 1 hour
Students: 4
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On average, students complete this lab in1h 5m
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Description

Vertex AI Search enables developers to build data-aware AI agents that can understand and interact with large datasets. This process, known as "grounding," involves connecting AI agents to relevant data sources, allowing them to provide more accurate and contextually relevant responses.

In this lab, you will learn how to create a Google Conversational Agent and a Vertex AI Search Datastore, and how to enable data-aware capabilities in an AI agent using Vertex AI Search.

Learning objectives

Upon completion of this beginner-level lab, you will be able to:

  • Create a Google Conversational Agent
  • Create a Vertex AI Search Datastore
  • Enable data-aware capabilities in an AI agent using Vertex AI Search

Intended audience

  • AI Developers
  • Data Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Vertex AI
  • Google Cloud Storage

The following content can be used to fulfill the prerequisites:

Environment before

Environment after

Covered topics

Artificial Intelligence
Google Cloud Platform
Artificial Intelligence for Google
Hands-on Lab UUID

Lab steps

0 of 4 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Signing In to the Google Cloud Console
  2. Creating a Google Conversational Agent
  3. Creating a Vertex AI Search Datastore
  4. Evaluating the Grounded Agent with Vertex AI Search Datastore

Lab Rules