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This document provides an overview of Vertex AI Search, covering the following topics:
Industry-specific applications: Learn about the different versions of Vertex AI Search tailored for generic, media, commerce, and healthcare use cases.
Key features: Discover core capabilities like generative AI summaries, semantic search, and self-learning ranking.
Get started: Find demos and tutorials to start building with Vertex AI Search.
Use Vertex AI Search to build AI-enabled search and recommendation experiences for your public websites or mobile applications.
Powered by large language models, Vertex AI Search offers search and RAG across websites, unstructured documents, and structured data. It also provides specialized tuning for industry requirements.
Industry-specific applications
Vertex AI Search provides a core search engine that can be tuned for specific industry requirements. The following table summarizes the available options and points to the primary documentation for each.
Application
Description
Primary Documentation
Generic and Healthcare Search
Build search for websites, unstructured documents (PDF, HTML, TXT), structured data, and clinical data repositories.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-27 UTC."],[],[],null,["# About Vertex AI Search\n\nVertex AI Search lets you build AI-enabled search and recommendation\nexperiences for your public websites or mobile applications.\n\nPowered by large language models, it offers search and RAG across\nwebsites, unstructured documents, and structured data. Vertex AI Search\nalso provides specialized tuning for industry requirements for commerce\ncatalogs, media libraries, and clinical data repositories.\n\nVertex AI Search provides natural language understanding and semantic\nsearch, synonym understanding, spell correction, and auto-suggest out of the\nbox.\n\nOther key features include:\n\n- Generative AI summarization\n- Generative AI conversational search\n- Self-learning ranking models\n- Parsers for unstructured file types such as PDF, HTML, and TXT\n- Controls for search results such as boost and bury, filters, and URI redirects\n- An out-of-the-box search widget for embedding in your websites\n\nTo learn more about Vertex AI Search for generic, media, and\nhealthcare use cases, see\n[Vertex AI Search](/generative-ai-app-builder/docs/introduction#es-and-personalize)\nin the AI Applications documentation.\n\nTo learn about Vertex AI Search for retail and commerce use cases, see\n[Features and capabilities](/retail/docs/features) in the\nVertex AI Search for commerce documentation.\n\nGet started\n-----------\n\nTo get started with Vertex AI Search:\n\n- [Try a demo of Vertex AI Search](/generative-ai-app-builder/docs/try-it)\n- Follow a step-by-step tutorial:\n - [Create a search app for website, unstructured, or structured data](/generative-ai-app-builder/docs/try-enterprise-search)\n - [Create a media recommendations app](/generative-ai-app-builder/docs/try-generic-recommendations)\n - [Create a media search app](/generative-ai-app-builder/docs/try-media-search)\n - [Try interactive task tutorials for Vertex AI Search for commerce](/retail/docs/retail-api-tutorials)"]]
