Data stores are the workhorses behind Vertex AI Search applications, recommendations engines, and many generative AI applications. They allow your generative AI agents to ground their responses on your data. With data stores that allow you to connect to unstructured documents in file storage, structured data in databases, email, chat, ticketing systems, calendars, and more, from both Google and other third-party providers, there is enormous potential in mastering these tools. Follow this learning path to learn about data store types, data access controls, and several ways to query data stores to enable you to easily build many useful generative AI applications.

Learners should be familiar with the basics of Vertex AI Search and Google Agentspace apps as covered in the learning path Intelligent Search: Intro to AI Applications, Vertex AI Search, and Google Agentspace

This path is part of the curriculum to earn the Intelligent Search Technical Expert Badge. To earn your Technical Expert Badge you need to have a valid Professional Google Cloud Certification, earn the Skill Badge at the end of this path, and earn the other four Skill Badges to showcase your Intelligent Search skills.

You can earn the other Skill Badges needed at Intelligent Search: Intro to AI Applications, Vertex AI Search, and Google Agentspace , Intelligent Search: Configuring and Improving Search Results, Intelligent Search: Actions and Agents in Google Agentspace , and Intelligent Search: Media Search and Recommendations.