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Google Vertex AI Search

Paid
generative aienterprise searchragvector searchchatbot buildergoogle cloudllmnlpdeveloper toolsemantic search

A fully managed Google Cloud service that enables developers to build sophisticated, generative AI-powered search engines and conversational applications for enterprise data with minimal machine learning expertise.

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Google Vertex AI Search allows organizations to create powerful, Google-quality search and chat experiences across their private datasets. Aimed at enterprise developers and IT teams, it integrates retrieval-augmented generation (RAG) to provide direct, synthesized answers from documents, databases, and websites. The platform abstracts the complexity of vector embeddings, indexing, and tuning large language models, facilitating rapid application development. Its primary value proposition is leveraging Google's cutting-edge foundational models and search infrastructure within a secure, scalable cloud environment. This enables businesses to quickly deploy intelligent applications like internal knowledge bases, customer support bots, and product discovery tools.

Pros

  • Leverages Google's state-of-the-art foundational models (like Gemini) and search technology.
  • Fully managed platform that abstracts complex infrastructure like vector databases and RAG pipelines.
  • Grounds responses in provided enterprise data to significantly reduce hallucinations and improve accuracy.
  • Offers both no-code UI builders and full API access for flexible development workflows.
  • Inherits robust security, compliance, and data governance features from Google Cloud Platform.

Cons

  • Complex, usage-based pricing can be difficult to forecast and may become costly at scale.
  • Can be overly powerful and expensive for simple search use cases not requiring generative AI.
  • Promotes vendor lock-in within the Google Cloud ecosystem.
  • The learning curve can be steep for those unfamiliar with Google Cloud services and concepts.

Key features

  • Generative AI-powered search with synthesized, multi-turn answers.
  • Built-in Retrieval-Augmented Generation (RAG) capabilities.
  • Connectors for unstructured (PDF, HTML, DOCX) and structured (BigQuery) data.
  • Multi-turn conversational search and chatbot creation.
  • Grounding with citations to source documents to ensure answer factuality.
  • Managed vector search and automatic embedding generation.
  • Enterprise-grade security controls and IAM integration.
  • Summarization of search results and documents.

Integrations

Google Cloud StorageBigQueryGoogle DriveCloud IAMCloud Logging & MonitoringDocument AIDialogflow CXSalesforce (via connector)Confluence (via connector)

Target audience

Enterprise developers, data scientists, and IT managers aiming to build custom generative AI search and conversational applications for internal or customer-facing use cases.

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Founded

2023

Headquarters

Mountain View, USA

Pricing Tiers

Free Tier

Includes a monthly allowance for developing and testing applications. For Search, this includes up to 20,000 queries. For Conversation, it includes up to 10,000 requests.

Free

Search (Pay-as-you-go)

Billed per 1,000 search queries after the free tier is exhausted. Price varies based on whether the query uses generative features or not.

$0.50+ / 1000 queries

Conversation (Pay-as-you-go)

Billed per 1,000 conversational requests (a single user turn) after the free tier is exhausted.

$5.00 / 1000 requests

Indexing

Billed for the storage of indexed data. There is an additional one-time processing fee when data is first ingested.

$0.02 / GB / hour

Frequently Asked Questions

Top Alternatives to Google Vertex AI Search

Azure AI Search

Microsoft's direct equivalent on the Azure cloud, offering similar RAG, vector search, and AI-powered indexing capabilities for enterprises committed to the Microsoft ecosystem.

Amazon Kendra

AWS's intelligent search service that uses ML to provide accurate answers, making it a strong choice for companies heavily invested in the AWS platform.

Algolia

A developer-focused search API known for extreme speed and relevance tuning, chosen for customer-facing experiences where performance is the absolute top priority.

Elasticsearch

A highly customizable open-source option for teams that want full control over their search infrastructure and are willing to manage the added complexity.

Ready to get started?

Join thousands of users and see how Google Vertex AI Search can transform your workflow today.

Visit Google Vertex AI Search