Google Vertex AI Text Embeddings

Convert text into dense vector representations for semantic search and AI applications

Vendor
Google
Also known as
google-vertex-ai-text-embeddings

Available worldwide · Popular in: US

What is Google Vertex AI Text Embeddings?

A cloud-based API that transforms text into high-dimensional vector embeddings using deep learning. Supports multiple languages and task types, integrating with vector databases for efficient semantic search.

Independently observed

Google Vertex AI Text Embeddings pricing

We don't have Google Vertex AI Text Embeddings's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

Pricing as of verify at live pricing ↗Independently observed
Usage-basedFree tier

Usage-based pricing; new customers receive $300 in free credits

What Google Vertex AI Text Embeddings does

The capabilities that matter for embeddings apis, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Architecture model
Managed cloud API
Matryoshka representation learning for dimension truncation
-
Multilingual support across 100 plus languages
✓
Binary and scalar quantization for memory reduction
-
Cross encoder reranker API offered
-
Late interaction architecture colbert v2
-
Massive context window greater than 8k tokens
✓
Multi modal image and text joint embeddings
✓
Task specific prefixes query vs document instructions
✓
Zero data retention training opt out enterprise
-
SOC2 type ii
-
Mit or apache permissive oss license
-
Pricing model
Per million tokens API
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS

Integrations (1)

Independently observed
  • Vector Search

Google Vertex AI Text Embeddings FAQ

Common questions about Google Vertex AI Text Embeddings, answered from independent, dated evidence.

What is Google Vertex AI Text Embeddings?

A cloud-based API that transforms text into high-dimensional vector embeddings using deep learning. Supports multiple languages and task types, integrating with vector databases for efficient semantic search. It is indexed under Embeddings Apis.

Source: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings

What platforms does Google Vertex AI Text Embeddings support?

We have confirmed browser-based access to Google Vertex AI Text Embeddings. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.

Source: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings

Can Google Vertex AI Text Embeddings be self-hosted?

We have only confirmed a cloud / SaaS deployment for Google Vertex AI Text Embeddings, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.

Source: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings

Where is Google Vertex AI Text Embeddings available?

Google Vertex AI Text Embeddings is available worldwide. Its primary market is the United States.

Source: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings

Google Vertex AI Text Embeddings alternatives

Other embeddings apis we track, ranked by the same independent score.

All Google Vertex AI Text Embeddings alternatives, ranked →

Compare Google Vertex AI Text Embeddings

Side by side against other embeddings apis, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Google Vertex AI Text Embeddings, not the verdict.

Balanced composite 46 / 100
low · 35%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Price level800.043.3✓
Capabilities670.042.5✓
Pricing transparency250.051.4✓
Integrations90.040.4✓
Reliability00.070.0-
Security posture00.120.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Content

AttributeValueEvidence
Faq4 itemsmediumsource · 2026-09-10 · 57%

Features

AttributeValueEvidence
CapabilitiesPricing model: per_million_tokens_api · Architecture model: managed_cloud_api · Multi modal image and text joint embeddings: Yes · Massive context window greater than 8k tokens: Yes · Multilingual support across 100 plus languages: Yes · Task specific prefixes query vs document instructions: Yesmediumsource · 2026-10-02 · 60%

Integrations

AttributeValueEvidence
Count1mediumsource · 2026-08-21 · 60%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …mediumsource · 2026-10-02 · 50%

Pricing

AttributeValueEvidence
Modelfreemiummediumsource · 2026-10-02 · 60%
Free tierYesmediumsource · 2026-10-02 · 60%
Price levellowmediumsource · 2026-10-02 · 60%
TransparentNomediumsource · 2026-09-06 · 60%
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