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Google Vertex AI Search review

A capable Google Cloud search service with broad retrieval and generative-answer features.

7.3/10Editor score
Google Vertex AI Search7.3 Visit Google Cloud

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Google Vertex AI Search is a managed search and content-discovery service for applications using websites, structured data, and unstructured documents. It is aimed at teams building enterprise search experiences on Google Cloud through the Google Cloud console, Discovery Engine API, REST interfaces, client libraries, or a website search widget. Its hybrid approach combines keyword and semantic retrieval with vector embeddings, metadata filters, facets, spell correction, synonyms, query rephrasing, ranking, and personalization.

The feature breadth is the main reason to consider it. Search can cover websites, documents, databases, JSON files, BigQuery tables, and other supported sources. Search Enterprise Edition adds core generative answers and website search, while Advanced Generative Answers adds suggested follow-ups, complex query handling, and multimodality. Grounded answers with citations provide a defined way to connect generated responses to search results. BigQuery, Cloud Storage, and the Discovery Engine API also fit naturally into the Google Cloud-oriented workflow.

Pricing starts with Search Standard Edition at $1.50 per 1,000 queries, covering semantic retrieval, KPI optimization, and unstructured and structured search. Search Enterprise Edition costs $4.00 per 1,000 queries, and Advanced Generative Answers costs $4.00 per 1,000 user input queries. Capacity and storage can add separate monthly charges: Configurable Query Unit is $6.00 per QPM per month with a minimum of 1,000 queries per minute; Configurable Storage Unit is $1.00 per GB per month with a minimum of 50 GB; and Index Storage is $5.00 per GB per month, with a 10 GiB free quota per month. Choose it for managed, feature-rich search on Google Cloud; look elsewhere if you need a free plan or non-cloud deployment.

Google Vertex AI Search pros and cons

  • Where it wins
    • Combines keyword, semantic, vector, filtered, and faceted search
    • Searches websites, structured data, and unstructured documents
    • Adds grounded answers, personalization, and REST APIs
  • Where it doesn't
    • No free plan is available
    • Cloud-only deployment limits hosting options
    • Pricing spans query, throughput, and storage units

Google Vertex AI Search fact sheet, pricing and score →

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