About Vertex AI Search

Vertex AI Search lets you build AI-enabled search and recommendation experiences for your public websites or mobile applications.

Powered by large language models, it offers search and RAG across websites, unstructured documents, and structured data. Vertex AI Search also provides specialized tuning for industry requirements for commerce catalogs, media libraries, and clinical data repositories.

Vertex AI Search provides natural language understanding and semantic search, synonym understanding, spell correction, and auto-suggest out of the box.

Other key features include:

• Generative AI summarization
• Generative AI conversational search
• Self-learning ranking models
• Parsers for unstructured file types such as PDF, HTML, and TXT
• Controls for search results such as boost and bury, filters, and URI redirects
• An out-of-the-box search widget for embedding in your websites

To learn more about Vertex AI Search for generic, media, and healthcare use cases, see Vertex AI Search in the Vertex AI Agent Builder documentation.

To learn about Vertex AI Search for retail and commerce use cases, see Features and capabilities in the Vertex AI Search for commerce documentation.

Get started

To get started with Vertex AI Search:

• Try a demo of Vertex AI Search
• Follow a step-by-step tutorial:
  • Create a search app for website, unstructured, or structured data
  • Create a media recommendations app
  • Create a media search app
  • Try interactive task tutorials for Vertex AI Search for commerce