Google Vertex AI Search
Google Cloud's unified platform for building, deploying, and managing AI agents with enterprise data integration
- Also known as
- google-vertex-ai-search
Available worldwide
What is Google Vertex AI Search?
A comprehensive development platform that enables teams to rapidly create and scale autonomous agents powered by multiple AI model options, with built-in governance, enterprise data grounding, and integration capabilities.
Google Vertex AI Search pricing
We don't have Google Vertex AI Search's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Pay-as-you-go for platform tools, storage, compute, and cloud resources. New customers receive $300 in free credits.
What Google Vertex AI Search does
The capabilities that matter for rag tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Hybrid retrieval
- -
- Reranking integration
- -
- Multi hop agentic retrieval
- -
- Embedding provider agnostic
- -
- LLM provider agnostic
- ✓
- Built in rag eval metrics
- -
- Citation attribution
- -
- Multimodal rag
- ✓
- Managed ingestion pipeline
- ✓
- Open source
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (8)
Independently observed- Google Cloud Storage
- Google Cloud Logging
- Google Cloud Monitoring
- BigQuery
- Cloud Data Fusion
- Cloud Dataflow
- Cloud Composer
- Service Directory
Google Vertex AI Search alternatives
Other rag tools we track, ranked by the same independent score.
- RagieA managed service that automates document ingestion, parsing, and intelligent retrieval for AI applicationsmedium · 55%
- LightRAGlow · 16%
- Amazon Bedrock Knowledge BasesManaged retrieval-augmented generation service that connects AI applications to proprietary enterprise datamedium · 62%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 36%
- Ragaslow · 27%
- Contextual AIlow · 41%
The Vioscale 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 Search, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 58 | 0.05 | 2.8 | ✓ |
| Integrations | 27 | 0.04 | 1.1 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | ✓ |
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.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Multimodal rag, Llm provider agnostic, Managed ingestion pipeline | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-21 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-21 · 75% |