# Google Vertex AI Vector Search

Vector Search is a managed vector database offered by Google Cloud, built on ScaNN, a search algorithm developed by Google Research. Version 2.0 stores vectors, metadata and content together in a single resource called a Collection. It supports semantic, text and hybrid search modes in one request.

Page: https://slateindex.ai/brand/google-vertex-ai-vector-search · data of 2026-11-02

## Facts

- Employees: 5,000+
- Company type: Division of Alphabet
- Deployment: Fully managed service on Google Cloud

## Products

- Vector Search 2.0: Collection-based vector search that holds vectors, metadata and content together, with semantic, text and hybrid search in one request.
- Vector Search 1.0: Index-based vector search where indexes are deployed to endpoints and documents are stored separately in Cloud Storage or Datastore.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| Vector Databases | 21 of 30 | 1.5 | 3 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 4.6 | 11.1% |
| google_ai_mode | 0.0 | 0.0% |
| perplexity | 0.0 | 0.0% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “Google Vertex AI Vector Search AI visibility profile”, https://slateindex.ai/brand/google-vertex-ai-vector-search, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).